Big Data-hadoop Resume Samples

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G Collier

Gwen

Collier

338 Eldora Glen

Detroit

+1 (555) 403 1646

338 Eldora Glen

Detroit

Phone

p +1 (555) 403 1646

Experience Experience

Phoenix, AZ

Big Data / Hadoop Specialist

Phoenix, AZ

Runolfsdottir-Roberts

Phoenix, AZ

Big Data / Hadoop Specialist

Responding to automated alerts on the health of systems
Performing routine audits of systems for the purpose of preventative maintenance of applications and reporting on their status
Executing scheduled or unscheduled tasks relating to operational maintenance and monitoring of applications
Analysis, troubleshooting, and diagnosis of incidents relating to off-the-shelf and proprietary applications and/or platforms
Effective call management including logging, monitoring / updating, prioritizing and resolving calls in a timely fashion
Ensure Big Data practices integrate into overall data architectures and data management principles (e.g. data governance, data security, metadata, data quality)
Assist in the development of comprehensive and strategic business cases used at management and executive levels for funding and scoping decisions on Big Data solutions

Chicago, IL

Big Data / Hadoop Development Lead

Chicago, IL

Botsford-Gerhold

Chicago, IL

Big Data / Hadoop Development Lead

Perform ongoing capacity management forecasts including timing and budget considerations
Assist with developing and maintaining the system runbooks
Work with Linux Server Administration team on administering the server hardware and operating system
Provide direction to junior programmers
Handle technical documentation, architecture diagram, data flow diagram, server configuration diagram creation
Complete Risk questionnaires for the application
Lead the build of the Hadoop platform and of Java applications

present

Houston, TX

Senior Big Data Hadoop Operations Administrator

Houston, TX

McKenzie, Gusikowski and Kihn

present

Houston, TX

Senior Big Data Hadoop Operations Administrator

present

Performance tuning applications and systems for high volume throughput
Ensures solutions developed adhere to security and data privacy policies
Familiarity with version control, job scheduling and configuration management tools such as Github, Puppet, UC4
Intermediate Java programming with frameworks, Scrum Agile, SOA, and software architecture
Lead investigations and proof of concepts as Big Data technology evolves
Lead troubleshooting on Hadoop technologies including HDFS, MapReduce2, YARN, Hive, Pig, Flume, HBase, Cassandra, Accumulo, Tez, Sqoop, Zookeeper, Spark, Kafka, and Storm
Install and maintain platform level Hadoop infrastructure including the additional tools like AtScale, Actian and R

Education Education

Bachelor’s Degree in Computer Science

University of California, Berkeley

Bachelor’s Degree in Computer Science

Skills Skills

· Microsoft Windows Server
· Linux RedHat/CentOS Server
· SQL Server
· Hadoop HortonWorksTechnology Stack
· Ambari,Atlas, HDFS, HiveServer2, TEZ, WebHDFS, Knox, Pig, MapReduce, Ranger, YARN, ZooKeeper, Spark, Hbase, Kafka, Storm
· Microsoft R Server
· Python
· CRAN
· Packages
· Ansible

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12 Big Data-hadoop resume templates

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Software Engineer, Big Data Hadoop Resume Examples & Samples

2+ years’ experience in database development, reporting, and analytics
2+ years’ experience in web service or middle tier development of data driven apps
Knowledge and experience in “big-data” technologies such as Hadoop, Hive, Impala
Ability to work in a fast paced, evolving, growing and dynamic environment
Ability to work with and influence others
Willingness to explore new ideas and have a passion to make them happen

Big Data / Hadoop Development Lead Resume Examples & Samples

Lead the build of the Hadoop platform and of Java applications
Support applications until they are handed over to Production Operations
Provide direction to junior programmers
Handle technical documentation, architecture diagram, data flow diagram, server configuration diagram creation
Complete Risk questionnaires for the application
Drive project team to meet planned dates and deliverables
Work with other big data developers, designing scalable, supportable infrastructure
Work with Linux Server Administration team on administering the server hardware and operating system
Assist with developing and maintaining the system runbooks
BS Degree in Computer Science/Engineering preferred
2+ years experience in Hadoop required
4+ years of Java development experience preferred
4+ years experience in ETL with tools like Informatica, Data Stage or Ab-initio preferred
Exposure to Greenplum an advantage
Exposure to SQL/Shell and procedural languages like PL/SQL, C, C++
Understanding of Storage, Filesytem , Disks, Mounts , NFS
Experience in financial services industry preferred
Experience leading technology initiatives

Big Data / Hadoop System Administrator Resume Examples & Samples

To succeed in this role, the candidate should have a broad set of technology skills to be able to build and support robust Hadoop solutions for big data problems and learn quickly as the industry grows
The candidate should have 2+ years cluster management and support experience in the Big Data/Hadoop space
A record of working effectively with application and infrastructure teams; and executing on multiple projects in varying stages of the development life cycle is important
The candidate must also demonstrate the ability to learn new technologies quickly and be able to transfer knowledge to others
Possess strong problem solving skills
Ability to work in a fast paced, team atmosphere
Should work effectively with a minimum of direction
Be able to grasp the problem at hand and recognize appropriate approach, tools and technologies to solve it
Work within Northern Trusts Change Management process

Software Engineer, Big Data Hadoop Engineer Resume Examples & Samples

Work with stakeholders to understand their information needs and translate these into business functional and technical requirements and solutions
Design and develop service oriented applications that encompass both ETL processes in the backend and the web service presentation layer that are performant and scalable
Analyze complex data systems and document data elements, data flow, relationships and dependencies to contribute to conceptual, logical and physical data models
Perform thorough testing and validation to ensure the accuracy of reports and transformations
Ensure data quality and data governance, create/maintain data dictionary and related metadata
Collaborate in the planning, design, development, test, and deployment of new BI solutions
Provide production support for new and existing BI solutions. Resolve issues with reports and data as identified by users
Ability to understand and effectively communicate at both a business and technical level
4+ years experience in database development, reporting, and analytics
2+ years experience in web service or middle tier development of data driven apps
Experience in “big-data” technologies particularly Hadoop, Hive, and other open source breeds
Experience with a BI reporting framework (such SSRS, Tableau, Business Objects, etc) is a plus
Good understanding of the challenge and various solutions in handling large data volume, whether in terms of complex SQL queries and stored procedures, or brute-force caching, or paradigms of parallel processing
Able to find creative solutions and move quickly to deliver them
Strong ability to collaborate with team members throughout the process and consult with other project teams on the design and use of enterprise data
Good written and oral communication skills and a desire to educate co-workers and business users about our data and how to access it
Bachelor's Degree and 5+ years experience OR Master's Degree and 2+ years experience

Senior Software Engineer, Big Data Hadoop Resume Examples & Samples

4+ years’ experience in database development, reporting, and analytics
4+ years’ experience in web service or middle tier development of data driven apps
Experience and ability to demonstrate advanced proficiency, in writing complex SQL queries and stored procedures

VP, Digital Analytics, Big Data & Hadoop Resume Examples & Samples

Some statistical analytic experience, including controlled experimental design and simple modeling; experience with more advanced modeling and machine learning helpful
Modern web and digital analytics including reporting with SiteCatalyst, tagging processes including marketing/campaign coding, digital marketing, and site performance metrics
Online marketing from branded display to direct response channels
Some experience with DMPs and modern online data desirable
Experience with attribution approaches desirable
Online experiences across social, mobile, and other current advanced marketing and usage trends
Some of the tech behind web pages and digital capabilities including cookies, html, javascript
Databases including some SQL experience
Understanding of data challenges: digital data differences, QA, database match, record identifiers/keys, import/export big datasets, file formats, usage rights and compliance
Understanding of measuring and analyzing online marketing campaigns including: natural and paid search, email, affiliate, display and social
Understanding of website optimization tools for A/B and multivariate testing, e.g. Google Website Optimizer, Visual Website Optimizer, Optimize, Maximizer, etc
Some analytic systems including SAS, R, SPSS, etc
Must have 5+ years of experience working on digital analytics either on site-side or on digital marketing measurement
Can be client side or agency, but preferably for consumer experiences more so than B2B
Must be able to work and build long term relationships across cross-functional teams involving technical, design, marketing, and business leaders
Must be able to handle Excel, PowerPoint, and Word
Should be comfortable presenting work to senior leaders

Senior Big Data Hadoop Engineer Resume Examples & Samples

Document solutions for long term support
Travel to client site as needed
Assist client support team with Application issue resolution
Gathers technical requirements and translates requirements into hardware and software capabilities (Technical)
Communicates technical architecture direction and coordinates technical proof of concept analyses (Technical)
Assists in solving technical and performance problems within the technical infrastructure (Technical)
Develops required work products for technology, application, and data domains of change (Methodology)
Leads a team of 5-8 resources (company, client and third-party resources), in area of expertise, to conclusion of a project phase (Management)
Participates in providing gap analyses, from a technical perspective, highlighting current state, future state, client needs, best practices and competition (Business)
Interacts with confidence and ease when interacting with middle- and senior-level managers (client and CSC); uses complex strategies like indirect influence to build consensus and support (Relationship Management)
Assists sales staff in qualifying leads and generating proposals (Leverage)
2-3 years’ experience with Hadoop suite of applications
Solid understanding of Hadoop architectures
Should have 1+ years’ experience Hadoop ecosystem setup/administration
Should have at least one certification from either Hortonworks or Cloudera

Senior Big Data Hadoop Engineer Resume Examples & Samples

5+ years’ experience in database development, reporting, and analytics
5+ years’ experience in web service or middle tier development of data driven apps
Strong analytical skills with a data driven approach and ability to measure impact of project

Big Data Hadoop Engineer Resume Examples & Samples

Strong knowledge and experience in “big-data” technologies such as Hadoop, Hive, Impala
Strong experience and ability to demonstrate advanced proficiency, in writing complex SQL queries and stored procedures
Data science experience with predictive modeling or machine learning a plus

Big Data-hadoop Solution Architect Resume Examples & Samples

Use your strong natural leader capabilities to build and grow customer relationships at all levels
Engage clients, capture business requirements and translate them into technical requirements
Design, and document HLD (High Level Design) and decompose them into LLD (Low Level Design)
Lead the development of technical solutions and take accountability for technical validity of the solutions including, testing, installation and integration
Provide leadership and direction during the full software development lifecycle
Manage solutions with multi-vendor Big Data and Analytics products for all types of service providers including wireless, wire-line, cable, or utilities
BS or MS in Computer Science, or Computer Engineering or acceptable equivalent
Over 10 years of IT experience designing and integrating EDW, Business Intelligence, and/or Big Data Analytics platforms
3+ years’ working hands-on with Production-level Big Data and Analytics solutions
3+ years’ experience with major Hadoop distributions
1+ years’ experience with MapR Hadoop distributions

Big Data Hadoop Architect Resume Examples & Samples

Ensures programs and platforms are envisioned, designed, developed, and implemented
Tracks and documents requirements for enterprise development projects and enhancements
Monitors current and future trends, technology and information that will positively affect organizational projects; applies and integrates emerging technological trends to new and existing systems architecture. Mentors team members in relevant technologies and implementation architecture
Contributes to the overall system implementation strategy for the enterprise and participates in appropriate forums, meetings, presentations required to shape the enterprise Hadoop architecture
Gathers and understands client needs, finding key areas where technology leverages possible to improve business processes, defines architectural approaches and develops technology proofs. Communicates technology direction
Monitors the project lifecycle from intake through delivery. Ensures the entire solution design is complete and consistent
Develops and communicates system/subsystem architecture. Develops clear system requirements for component subsystems
Contributes to and supports effort to further build intellectual property via patents

Big Data / Hadoop Specialist Resume Examples & Samples

Analysis, troubleshooting, and diagnosis of incidents relating to off-the-shelf and proprietary applications and/or platforms
Determination of root cause of incidents (configuration vs. defect)
Liaise with appropriate teams for the development of corrective actions or viable workarounds to resolve incidents
Installation of applications in supported environments
Deployment of application upgrades and fixes
Executing scheduled or unscheduled tasks relating to operational maintenance and monitoring of applications
Adhere to E&Y and ITIL guidelines for Incident, Problem and Change Management
Effective call management including logging, monitoring / updating, prioritizing and resolving calls in a timely fashion

Senior Big Data Hadoop Operations Administrator Resume Examples & Samples

Install and maintain platform level Hadoop infrastructure including the additional tools like AtScale, Actian and R
Lead troubleshooting on Hadoop technologies including HDFS, MapReduce2, YARN, Hive, Pig, Flume, HBase, Cassandra, Accumulo, Tez, Sqoop, Zookeeper, Spark, Kafka, and Storm
Maintain clear documentation to help increase overall team productivity
4+ years of administrator experience on Big Data Hadoop Ecosystem and components (Sqoop, Hive, Pig, Flume, etc.)
Intermediate Java programming with frameworks, Scrum Agile, SOA, and software architecture
In depth understanding of system level resource consumption (memory, CPU, OS, storage, and networking data), and the Linux commands such as sar and netstat
Experience in administering high performance and large Hadoop clusters
Familiarity with version control, job scheduling and configuration management tools such as Github, Puppet, UC4
Ability to lead and take ownership of projects
Knowledge of NoSQL platforms
Cloudera Hadoop Certified

Cate Big Data Hadoop Engineer Resume Examples & Samples

5+ years overall IT experience
2+ years of experience with Big Data solutions and techniques
2+ years Hadoop application infrastructure engineering and development methodology background
Experience with Cloudera distribution (CDH) and Cloudera Manager is preferred
Advanced experience with HDFS, MapReduce, Hive, HBase, ZooKeeper, Impala, Pig, and Flume
Experience installing, troubleshooting, and tuning the Hadoop ecosystem
Experience with Clojure, Cascading, AVRO, and JSON
Experience with Apache Mahout, SOLR
Experience with full Hadoop SDLC deployments with associated administration and maintenance functions
Experience with designing application solutions that make use of enterprise infrastructure components such as storage, load-balancers, 3-DNS, LAN/WAN, and DNS
Experience with concepts such as high-availability, redundant system design, disaster recovery and seamless failover
Overall knowledge of Big Data technology trends, Big Data vendors and products
Good interpersonal with excellent communication skills - written and spoken English
Able to interact with client projects in cross-functional teams
Ability to create documents of high quality. Ability to work in a structured environment and follow procedures, processes and policies
Self-starter who works with minimal supervision. Ability to work in a team of diverse skill sets and geographies
Exposure to Citigroup internal standards, policies and procedures is a plus (does not apply to external candidates)

Lead Big Data / Hadoop Application Developer Resume Examples & Samples

Develop or review development of test protocols for testing application before user acceptance. Review test results and direct further development
8+ years of hands on experience and strong and deep knowledge of Java application development
6+ years of hands on experience in LINUX, Java/J2EE, SOA and Oracle platforms
Experience processing large amounts of structured and unstructured data. MapReduce experience is a plus
1 – 4 years experience building and coding applications using Hadoop components – HDFS, Hbase, Hive, Sqoop, Kafka, Storm, etc
1 – 4 years experience coding Java MapReduce, Python, Pig programming, Hadoop Streaming and HiveQL
1 – 4 years experience implementing relational data models
Minimum 2 years experience work experience or exposure to traditional ETL tools & RDBMS databases
Minimum 1 year experience developing REST web services
Experience leading and managing large scale, complex applications with high performance needs
Vendor management experience leveraging staff augmentation and/or outcome based project delivery models and statement of work planning and incremental demand forecasting
Experience managing on-site and off-site staff and demonstrated ability to collaborate and influence others to ensure timely and effective completion of project tasks

Solution Engineer Big Data / Hadoop Resume Examples & Samples

Supporting and independently completing project tasks
Identifying key drivers of a defined, straightforward problem and proposing solutions
Manages work plans for components on engagements
Hadoop (Cloudera distribution)
Apache Accumulo
SQL and NoSQL data stores
UNIX, Java
Sentry
Experience working with big data ecosystems including tools such as MapReduce, Yarn, Hive, Pig, Impala, Spark, Kafka, and Storm
Understands the tradeoffs between different approaches to Hadoop file design
Experience with techniques of performance optimization for both data loading and data retrieval
Experience with NoSQL databases such as HBase, Apache Cassandra, Vertica, or MongoDB
Ability to build and test MapReduce code in a rapid, iterative manner
Ability to articulate reasons behind the design choices being made
Bachelor of Science in Computer Science, Engineering, or MIS, or equivalent experience

Big Data Hadoop & Teradata Administrator Resume Examples & Samples

Performance tuning, statistics collection, health analysis, analyzing explain plans and table statistics
Capacity planning and space allocation for database and tables
Point of contact for vendor for coordinating access and schedule for cluster and/or node maintenance and upgrades
Familiarity with Viewpoint and its capabilities for monitoring Teradata systems, including administration of Data Labs
Knowledge of SLES 11 OS
Candidates with these skills will be given preferential consideration
Experience in Big Data Storage and File System Design
Experience in data ingestion technologies with reference to relational databases (i.e. DB2, Oracle, SQL)

Big Data / Hadoop Scientist Resume Examples & Samples

The Data Ops Analyst role resides within the client GDIA organization which was formed to support the client’s Blueprint for Mobility strategy and the client plan for profitable growth. In this role, you will support the data requirements of the Data Scientists who are using analytics to achieve business outcomes including insights to accelerate our Connected Vehicle / Autonomous Vehicle initiatives
You will be responsible for providing the data support for enterprise data integration tasks, including ingestion, standardization, enrichment, mastering and assembly of data products for downstream applications. In addition, you will
Drive the Data Strategy and align it with continuously changing business landscape
Continuously increase Data Coverage by working closely with the Data Scientists, understanding and evaluating their data requirements and delivering the data they need
Support the data requirements of the different functional teams like MS&S, PD, Quality, etc. and all the regional KPI / Metrics initiatives
Evaluate, explore and select the right data platform technologies including Big Data, RDBMS & NoSQL to meet the analytics requirements
Provide visibility to Data Quality issues and work with the business owners to fix the issues
Implement an Enterprise Data Governance model and actively promote the concept of data sharing, data reuse, data quality and data standards
Perform any necessary data mapping, data lineage activities and document information flows
Build the Metadata model & Business Glossary by gathering information from multiple sources: business users, existing data sources, databases and other relevant documents and systems
Serve as data subject matter expert and demonstrate an understanding of key data management principles and data use
Drive Data profiling and data exploration for basic understanding and profiling of the data
Ability to work in different database technologies including Big Data / Hadoop (HDFS, MapReduce, Hive, Shark, Spark, etc.), RDBMS and NoSQL
Experience in creation of scripts to manipulate files within HDFS is preferred
Knowledge of data transfer and ingestion technologies including Sqoop and Attunity
Demonstrated experience building visualizations using Tableau/Qlikview
Ability to write complex SQL queries needed to query & analyze data
Knowledge of data management standards, data governance practices and data quality
Ability to communicate complex solution concepts in simple terms
Ability to apply multiple solutions to business problems
Ability to quickly comprehend the functions and capabilities of new technologies
Strong Oral and written communication skills
Strong team player, with the ability to collaborate well with others, to solve problems and actively incorporate input from various sources
Demonstrated customer focus, with the ability to evaluate decisions through the eyes of the customer, build strong customer relationships, and create processes with customer viewpoint
Strong analytical and problem solving skills, with the ability to communicate in a clear and succinct manner and effectively evaluates information / data to make decisions
Strong interpersonal, and leadership skills, with proven abilities to communicate complex topics to leaders and peers in a simple, clear, plan oriented manner
Ability to anticipate obstacles and develop plans to resolve those obstacles
Change oriented, with the ability to actively generates process improvements, support and drives change, and confront difficult circumstances in creative ways
Resourceful and quick learner, with the ability to efficiently seek out, learn, and apply new areas of expertise, as needed
Highly self-motivated, with the ability to work independently
Superior organization, coaching and interpersonal skills, combined with effective leadership, decision-making, and communication
Strong oral and written communication skills (English)
Strategic and clear thinking to translate discreet and complex ideas to business-driven results
Demonstrated acceptance and adherence to high ethical, moral, and personal values
Six Sigma Green Belt Certified (client Internal Only)
Minimum of 5 years of experience in a Data Management role including running queries and compiling data for analytics
Minimum of 3 years of experience in data design, data architecture and data modeling (both transactional and analytic)
Minimum of 2 years of experience in Big Data, structuring and performing analysis on time-series data, NoSQL technologies including Greenplum & Hadoop (HDFS, MapReduce, Hive, Shark, Spark, etc.), especially command line experience with loading and manipulating files within HDFS
Bachelor’s Degree in Computer Science or related field from an accredited college or university

Big Data Hadoop Consultant Resume Examples & Samples

Design, implement and deploy custom applications on Hadoop
Implementation of complete Big Data solutions, including data acquisition, storage, transformation, and analysis
Design, implement and deploy ETL to load data into Hadoop
Minimum 1 year of Building and deploying Java applications
Minimum 1 year of building and coding applications using at least two Hadoop components, such as MapReduce, HDFS, Hbase, Pig, Hive, Spark, Sqoop, Flume, etc
Minimum 1 year of coding, including one of the following: Python, Pig programming, Hadoop Streaming, HiveQL
Minimum 1 year understanding of traditional ETL tools & RDBMS
Minimum of a Bachelor’s Degree or 3 years IT/Programming experience
Full life cycle Development
Minimum 1 year of experience Developing REST web services
Data Science and Analytics (machine learning, analytical models, MAHOUT, etc.)
Data Visualization

Big Data Hadoop Manager Resume Examples & Samples

Assess and define tactical and strategic opportunities to enable our clients to achieve new business capabilities through the use of Big Data and traditional tools and technologies
Deliver large-scale programs that integrate processes with technology to help clients achieve high performance
Design, implement and deploy Big Data solutions and applications that can perform at scale on one or more of the following components data streaming, ingestion, munging, machine learning, publication
Minimum 2 years of recent experience Building Java apps
Minimum 2 years of building and coding applications using Hadoop components - HDFS, Hbase, Hive, Sqoop, Flume
Minimum 2 years of recent, hands on, Data Flow Programming, including - MapReduce coding using tools such as Java, Python, Pig, Hadoop Streaming, and HiveQL
Minimum 3 years implementing relational and dimensional data models
Minimum 3 years understanding of traditional and Big Data ETL/data movement tools & RDBMS such as Ab Initio, DataStage, Informatica, Trifecta, and Kafka
Minimum of a Bachelor’s Degree or 3 years of IT/Programming experience
6+ months experience leading technical teams
Minimum 2 yrs. experience leading and delivering an operational Big Data solution using one or more of the following technologies: Hadoop, HortonWorks, Cloudera, Cassandra, GreenPlum, Vertica, Aster
3+ year of experience Developing REST web services
Industry experience (financial services, resources, healthcare, government, products, communications, high tech)

Big Data Hadoop Senior Data Modeler Resume Examples & Samples

3-5 years of Hadoop and No-SQL data modelling/canonical modeling experience with Hive, HBase or other
2 years experience with In memory databases or caching tools and frameworks
Familiarity with Lambda Architecture and Serving/Consolidation Views, Persistence layers
Hands on Experience with open source software platforms Linux
2+ years of Oracle relational modelling development experience
Demonstrable experience in developing, validating, publishing, maintaining LOGICAL data models with exposure to or experience in developing, validating, publishing, maintaining PHYSICAL data models
Demonstrable experience using data modeling tools - e.g., ErWin
Evaluate existing data models and physical databases for variances and discrepancies
Experience with managing meta data for data models

Big Data Hadoop Project Manager Resume Examples & Samples

Bachelor’s degree in Business or Computer Science, or equivalent experience, required
A minimum of 10 years or managing information technology projects in a matrix environment. Experience with executing global projects is required
Skills and Abilities Knowledge of Big Data technology stack
Technical development background in a major development language or Database technology
Proficiency with Microsoft Project and Office applications required
Project management certification (e.g., PMP) preferred
Knowledge of TTS (Cash Management) products would be preferred

Big Data / Hadoop Architect Resume Examples & Samples

Perform architecture design, data modeling, and implementation of Big Data platform and analytic applications for Hitachi Consulting’s clients
Analyze latest Big Data Analytic technologies and their innovative applications in both business intelligence analysis and new service offerings; bring these insights and best practices to Hitachi Consulting’s Insights and Analytics practice
Stand up and expand data as service collaboration with partners in US and other international markets
Apply deep learning capability to improve understanding of user behavior and data
Develop highly scalable and extensible Big Data platforms which enable collection, storage, modeling, and analysis of massive data sets

Big Data / Hadoop Architect Resume Examples & Samples

Over 8 years of engineering and/or software development experience
Hands-on experience in Big Data Components/Frameworks such as Hadoop, Spark, Storm, HBase, HDFS, Pig, Hive, etc
Experience in architecture and implementation of large and highly complex projects
Deep understanding of cloud computing infrastructure and platforms
History of working successfully with cross-functional engineering teams
Demonstrated ability to communicate highly technical concepts in business terms and articulate business value of adopting Big Data technologies
Proficiency in Java/C++, SQL/RDBM, and data warehousing

Senior Data Engineer Big Data-> Hadoop Resume Examples & Samples

Experience in SQL and No-SQL data modeling (object buckets, document DBs, column stores, KV stores, graph databases)
HA on replicated storage backends in the cloud (S3, HDFS, DynamoDB, Redshift, Cassandra, HBASE, RDS, etc)
Data infrastructure monitoring and scalability (CloudWatch, Graphana, Prometheus, DataDog, etc)
Ability to solve any ongoing issues with operating the infrastructure
Experience in architecting and building connectivity data systems and integrations
Proven track record of delivering strategic solutions for end-users
Passion for agile development of very well tested code (unit and integration) in a containerised/cloud environment
Exposure to CI/CD development scenarios (Jenkins, Jira, nexus, git, canary deployment)
Flexible and dynamic approach to development
Proven ability to work in an interdisciplinary team
Experience of M2M data environments
Experience of AWS Data Analytics toolsets, including EMR, ElasticSearch, Kinesis and Redshift

Data Engineer Big Data-> Hadoop Resume Examples & Samples

Strong background in data and analytics systems, primarily the Apache Big-Data toolsets
Experience of integrating very large datasets with line of business data
Proven track record of developing robust requirements specifications
The ability to quickly adopt new concepts, languages and techniques quickly and convey the benefits to others
Good understanding and experience of agile application development practices
Strong planning & time management skills
Ability to communicate complex ideas simply

Big Data Hadoop & Teradata Architect Resume Examples & Samples

Working with data delivery, development teams, and Information Assurance to setup new Hadoop users and policies. This includes setting up new LDAP users, validating and troubleshooting Ranger policies, testing access for the users, and troubleshooting a secured Hadoop environment using Kerberos, Knox, and Ranger
Familiarity of Hadoop cluster maintenance with Ambari
Performance tuning of Hadoop
Monitor Hadoop cluster job performance, capacity, connectivity and security
Responsible for maintaining documentation of Hadoop system architecture and processes
Hive performance monitoring and tuning
Responsibility for 24x7 normal DBA functionality
Partition management and health
Monitoring of the data loading and data mart updating
Familiarity with BTEQ, Fastexport, Multiload, and Fastload
Responsible for maintaining documentation of TDW system architecture and processes
Must be a US Citizen
Bachelors or Master’s Degree in technical or business discipline or related experience required. BS in Computer Science, Math or Engineering desired and 7 to 9 years of related work experience
4+ years of proven experience in a range of big data architectures and frameworks including Hadoop ecosystem, Java MapReduce, Pig, Hive, Spark, Impala etc
5 years of proven experience working with, processing and managing large data sets (multi TB scale)
Proven experience in ETL (Syncsort DMX-h, Ab Initio, IBM - InfoSphere Data Replication, etc.), mainframe skills, JCL
DOD Secret clearance and 8570 certification required
Experience with Hadoop and TeraData Administration
Experience with Linux Administration
Experience in coding shell scripting in Python
Experience in analytic programming, data discovery, querying databases/data warehouses and data analysis

Principal Business Analysis Cons t With Big Data & Hadoop Resume Examples & Samples

Data; hands on data sourcing, analyze the data for quality, harmonize the data and work with sources to finalize requirements, develop feeds, document business rule transformations and work with development team to implement. Perform detailed reconciliations between data sets
Lead implementations for enhancements/projects and ability to communicate clearly issues, risks and status updates to developed plans and dashboards
Assist to design data architecture, data flows and contribute to the overall application ecosystem
Iterate with the business and technology to define and develop coherent and visually aesthetic and graphic based business intelligence and dashboards
Provide production support on data issues and processes in a challenging and time crunch environment working closely with business, vendor, and data teams to resolve the issues
Authors various documents on projects such as use cases, process flows and other related project documents and adheres to life cycle documentation; BRDs, FRDs and test documentation
Experience in hands on data mapping and data ware housing concepts and reporting platforms, working with Big Data, Hadoop a plus
Strong experience SQL and working with large data sets knowledgeable in Microsoft SQL Server, SSIS, SSRS, SSAS and Tableau is a plus
Experience working in the financial and banking industries and knowledge of financial products on The Bank of New York Mellon Corporation Balance Sheet
Capable of working to resolving production issues in a stressful and time critical environment
Previous development knowledge is a plus
Advanced knowledge and extensive experience working with SQL
Experience working with offshore development teams
Strong testing and quality assurance mindset. Must be able to craft detailed test plans and test cases to ensure final deliverables meet specifications

Big Data Hadoop Team Lead Resume Examples & Samples

10+ years of total IT programming experience in Java and SQL. With 5 years of Hadoop Map/Reduce, Hive, Sqoop and Oozie experience and Hadoop java programming experience
2+ Years of Data management or data modeling experience within Big Data (Hbase/Hive)
5 years of Core Java or Python Programming experience
2+ years of Oracle and/or MYSQL database application development experience
Strong leadership, interpersonal, influence, negotiation, and written and verbal communication skills required

Big Data / Hadoop Specialist Resume Examples & Samples

Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support
Develop standardized practices for delivering new products and capabilities using Big Data technologies, including data acquisition, transformation, and analysis
Ensure Big Data practices integrate into overall data architectures and data management principles (e.g. data governance, data security, metadata, data quality)
Create formal written deliverables and other documentation, and ensure designs, code, and documentation are aligned with enterprise direction, principles, and standards
Train and mentor teams in the use of the fundamental components in the Hadoop stack
Assist in the development of comprehensive and strategic business cases used at management and executive levels for funding and scoping decisions on Big Data solutions
Troubleshoot production issues within the Hadoop environment
Good knowledge on Agile Methodology and the Scrum process
Delivery of high-quality work, on time and with little supervision
Bachelor in Computer Science, Management Information Systems, or Computer Information Systems is required
Minimum of 4 years of Building Java apps
Minimum of 2 years of building and coding applications using Hadoop components - HDFS, Hbase, Hive, Sqoop, Flume etc
Minimum of 2 years of coding Java Scala / Spark, Python, Pig programming, Hadoop Streaming, HiveQL
Minimum 4 years understanding of traditional ETL tools & Data Warehousing architect
Strong personal leadership and collaborative skills, combined with comprehensive, practical experience and knowledge in end-to-end delivery of Big Data solutions
Experience in Exadata and other RDBMS is a plus
Must be proficient in SQL/HiveQL
Strong in-memory database and Apache Hadoop distribution knowledge (e.g. HDFS, MapReduce, Hive, Pig, Flume, Oozie, Spark)
Experience and proficiency in coding skills relevant for Big Data (e.g. Java, Scala, Python, Perl, SQL, Pig, Hive-QL)
Proficiency with SQL, NoSQL, relational database design and methods
Deep understanding of techniques used in creating and serving schemas at the time of consumption
Identify requirements to apply design patterns like self-documenting data vs. schema-on-read
Played a leading role in the delivery of multiple end-to-end projects using Hadoop as the data platform
Successful track record in solution development and growing technology partnerships
Ability to clearly communicate complex technical ideas, regardless of the technical capacity of the audience
Experience working with multiple clients and projects at a time
Knowledge of predictive analytics techniques (e.g. predictive modeling, statistical programming, machine learning, data mining, data visualization)
Familiarity with different development methodologies (e.g. waterfall, agile, XP, scrum)
Demonstrated capability with business development in big data infrastructure business
Preferred Skills
Bilingual (French/English) who has the capacity to adapt his communication to most of the situations and audience. Proficient in planning his communications, facilitating a meeting or workshop
Able to plan and execute complex tasks without supervision, identify potential roadblocks and mobilise resources to remove them and achieve goals
Gets easily acquainted to new technologies e.g. programming language within 2-3 days

Big Data Hadoop AWS Architect Resume Examples & Samples

Hands on experience with Hadoop applications including administration, configuration management and production troubleshooting and tuning
Hands-on experience working with AWS Cloud technology including S3, EMR etc
Knowledge and understanding of Java, Python, Linus is useful
Knowledge of traditional data analytics warehouses like Teradata
Experience in benchmarking systems, analyzing system bottlenecks and propose solutions to eliminate them
Be able to clearly articulate pros and cons of various technologies and platforms
Hands-on Experience in technologies like: Spark, Hive, Pig, Kafka, R, Storm is useful
Be able to document use cases, solutions and recommendations
Liaison with Project Managers and other solution architects in planning and governance activities related to the project
Bachelors in computer science, data science, business intelligence or related technical field. 5+ years of experience in Data Analytics field

Q-dna-technology Lead-big Data / Hadoop Resume Examples & Samples

At least 3 years of hands on design and development experience on Big data related technologies – PIG, Hive, Mapreduce, HDFS, HBase, Hive, YARN, SPARK, Oozie, Java and shell scripting
Should be a strong communicator and be able to work independently with minimum involvement from client SMEs
Should be able to work in team in diverse/ multiple stakeholder environment
Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types, Arrays and String Operations, Operators, Control Flow Statements, Inheritance and Interfaces, Exception Handling, Serialization, Collections, Reading and Writing Files
Must have experience working on Big Data Processing Frameworks and Tools – MapReduce, YARN, Hive, Pig
Should have worked on large data sets and experience with performance tuning and troubleshooting

Technology Lead-big Data / Hadoop Resume Examples & Samples

At least 5 years of Design and development experience in Big data, Java or Datawarehousing related technologies
Atleast 3 years of hands on design and development experience on Big data related technologies – PIG, Hive, Mapreduce, HDFS, HBase, Hive, YARN, SPARK, Oozie, Java and shell scripting
Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture

Big Data / Hadoop Consultant Resume Examples & Samples

Minimum 1 year of building Java apps
Minimum 1 year of building and coding applications using Hadoop components, HDFS, HBase, Hive, Sqoop, Flume etc
Minimum 1 year of coding with Python, Pig programming, Hadoop Streaming, Hive QL
Minimum 1 year of experience with designing and implementing relational data models
2 plus years of overall experience with Hadoop and other Big Data technologies
2 plus years of hands-on experience designing, implementing and operationalizing production data solutions using emerging technologies such as Hadoop Ecosystem (MapReduce, Hive, HBase, Spark, Sqoop, Flume, Pig, Kafka etc.), NoSQL (e.g. Cassandra, MongoDB)
2 plus years of experience with Big Data Infrastructure Architecture
2 plus years of experience working with Spark SQL

Senior Big Data / Hadoop Architect Resume Examples & Samples

1) 3+ years of experience with Big Data architecture
2) 3+ years of experience with Hadoop
3) 3+ years of experience with AWS

Dna-big Data / Hadoop Resume Examples & Samples

Minimum 7 years of experience in IT and 4 years of experience in Java technologies – J2EE framework and web technologies (JavaScript, HTML, XML, Web 2.0, J2EE development toolset)
Min 3 years’ experience in working on Master Data Management tools like Informatica, IBM etc.,
Min 1 year experience in technical development, configuration and custom development of Stibo STEP modules
Should have good understanding of Product and Customer MDM
Working knowledge of Oracle, SQL server, UNIX
Strong knowledge on PIM architecture, design, and development skills
At least 5years of experience in software development life cycle
At least 5 years of experience in Project life cycle activities on development and maintenance projects
STIBO certification nice to have

Q-dna-tl-big Data-hadoop / Java Engineer Resume Examples & Samples

Must have hands on experience in design, implementation, and build of applications or solutions using Core Java/Scala
Strong understanding of Hadoop fundamentals
Strong understanding of RDBMS concepts and must have good knowledge of writing SQL and interacting with RDBMS and NoSQL database - HBase programmatically
Strong understanding of File Formats – Parquet, Hadoop File formats
Proficient with application build and continuous integration tools – Maven, SBT, Jenkins, SVN, Git
Experience in working on Agile and Rally tool is a plus
Strong understanding and hands-on programming/scripting experience skills – UNIX shell, Python, Perl, and JavaScript
Knowledge of Java Beans, Annotations, Logging (log4j), and Generics is a plus
Knowledge of Design Patterns - Java and/or GOF is a plus
Knowledge of Spark, Spark Streaming, Spark SQL, and Kafka is a plus
Experience to Financial domain is preferred

Big Data / Hadoop Specialist Resume Examples & Samples

· Full lifecycle support for software skills in Bold
· Install and configure software for new engagement team environments
· Patch and upgrade software
· Project demand and maintain standards
· Vulnerability remediation (less than 2 days)
· Provide L3 and L4 incident response for defined software
· Troubleshoot issues, including up/down, performance and misconfiguration
· Interface with vendors to escalate issues
· Execute Service Requests for defined software
· Resolve Incidents for defined software
· Triage
· Troubleshooting
· Coordination of multiple technology owners
· Microsoft Windows Server
· Linux RedHat/CentOS Server
· Hadoop HortonWorksTechnology Stack
· Ambari,Atlas, HDFS, HiveServer2, TEZ, WebHDFS, Knox, Pig, MapReduce, Ranger, YARN, ZooKeeper, Spark, Hbase, Kafka, Storm
· Microsoft R Server
· Python
· CRAN
· Packages
· Ansible
· Anaconda
· Mongo
· Neo4J
· Jupyter