Hadoop Engineer Resume Samples

The Guide To Resume Tailoring

Guide the recruiter to the conclusion that you are the best candidate for the hadoop engineer job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.

Craft your perfect resume by picking job responsibilities written by professional recruiters

Pick from the thousands of curated job responsibilities used by the leading companies

Tailor your resume & cover letter with wording that best fits for each job you apply

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

CHOOSE THE BEST TEMPLATE - Choose from 15 Leading Templates. No need to think about design details.

USE PRE-WRITTEN BULLET POINTS - Select from thousands of pre-written bullet points.

SAVE YOUR DOCUMENTS IN PDF FILES - Instantly download in PDF format or share a custom link.

Create a Resume in Minutes

C Stiedemann

Corene

Stiedemann

9892 Noe Path

Boston

+1 (555) 340 8054

9892 Noe Path

Boston

Phone

p +1 (555) 340 8054

Experience Experience

Detroit, MI

Hadoop Engineer

Detroit, MI

Conroy and Sons

Detroit, MI

Hadoop Engineer

Leverage metrics to manage the server fleet and complex computing systems to drive automation, improvement, and performance
Build strong partnerships with senior management to drive development of BB&T’s strategy across IT and other functions
Develop and execute plans for complex systems backed by excellence, confidence, and thorough engineering analysis
Develop and execute plans for complex systems backed by excellence, confidence, and thorough engineering analysis; and
Work closely with the vendor, Cloudera, to make sure the environment is running properly
This support would include filesystem management and monitoring, cluster monitoring and management and automating / scripting backups and restores
Perform security and compliance assessment

Boston, MA

Hadoop Engineer / Administrator

Boston, MA

McGlynn Group

Boston, MA

Hadoop Engineer / Administrator

Manage and lead a team of Database Administrators
Actively participate in all phases of project development life cycle including database policies, procedures, standards and supporting documentation, database design, process flow analysis, development, benchmark analysis, performance/tuning, capacity planning, and production implementation
Provide status reports to senior management
Conduct employee performance appraisals, provide feedback, coaching, team building and training/education to team members
Assisting with communication interfaces/integration to associated systems
Upholds enterprise policy guidelines and recommends new and improved guidelines
Provide Hadoop Administration support which includes infrastructure setup, software installation (MapR, Hortonworks, Cloudera, etc.), configuration, upgrading/patching, monitoring, trouble shooting, maintenance, and working with development team to install components (Hive, Pig, etc.) and manage MapReduce jobs

present

Philadelphia, PA

Senior Hadoop Engineer

Philadelphia, PA

Kirlin and Sons

present

Philadelphia, PA

Senior Hadoop Engineer

present

In depth knowledge of hardware sizing, capacity management, cluster management and maintenance, performance monitoring and configuration
Work with stakeholders and Data Scientists in the Strategy and Marketing divisions to data management and analysis best practices
Lead software development in a collaborative team environment using Scrum Agile methodologies, primarily using Java and JavaScript with frameworks
Setup security using Kerberos and AD on Cloudera and Hortonworks clusters
Performance tuning applications and systems for high volume throughput
Expert with versioning, change control, problem management and troubleshooting
Ensures solutions developed adhere to security and data privacy policies

Education Education

Bachelor’s Degree in Computer Science

Loyola University Chicago

Bachelor’s Degree in Computer Science

Skills Skills

Ability to establish strong relationships with the corresponding technical community
Ability to serve as a visionary concerning future technological capabilities and operational scenarios; ability to create new business models and technologies
Demonstrated proficiency in basic computer applications, such as Microsoft Office software products
Design, install, and maintain highly available systems (including monitoring, security, backup, and performance tuning)
Strong documentation skills
Cloudera Certified Professional Certification
Has excellent oral and written communication skills
Strong Customer Service skills
Good analytical and problem solving skills
Ability to script for cron jobs

Create a Resume in Minutes

15 Hadoop Engineer resume templates

Read our complete resume writing guides

Hadoop Engineer Resume Examples & Samples

Design Hadoop and Hadoop Analytical/BI Tools deployment architectures (with features such as high availability, scalability, process isolation, load-balancing, workload scheduling, etc.)
Install, validate, test, and package Hadoop and Hadoop Analytical/BI products on Red Hat Linux platforms
Publish and enforce best practices, configuration recommendations, usage design/patterns, and cookbooks to developer community
Engineer process automation integrations
Perform security and compliance assessment
Contribute to Application Deployment Framework (requirements gathering, project planning, etc.)
Evaluate capacity for new application on-boarding into a large scale Hadoop cluster
Provide Hadoop SME and Level-3 technical support for troubleshooting
Experience using/installing/supporting Hadoop components such as HDFS, MapReduce, Hive, HBase, Pig, Sqoop, Flume, Datameer, Platfora, etc
Experience installing, troubleshooting, and tuning systems. Experience on Hadoop and Hadoop Analytical/BI tools
Experience with multi-tenant platforms taking into account Data Segregation, Resource Management, Access Controls, etc
Experience with Red Hat Linux, UNIX Shell Scripting, Java, RDBMS, NoSQL, and ETL solutions
Experience with Kerberos, TLS encryption, SAML, LDAP
Experience with full SDLC deployments with associated administration and maintenance functions

Hadoop Engineer Resume Examples & Samples

Maintain the Hadoop components
Build distributed, scalable, and reliable data pipelines that ingest and process data at scale and in real-time
Develop and maintain the hdfs files
Develop and maintain Hive/Impala tables
Evaluation the new Hadoop components releases
Provide ongoing maintenance, support and enhancements in existing systems and platforms
Collaborate with BI Developers, data scientists, business users and other engineers to define requirements and design solutions
Perform database tuning including monitoring, troubleshooting and optimizing performance of the databases
More than 3 years of relevant experience with Hadoop ecosystem (Cloudera)
More than 3 years of relevant experience with Java Development
More than 3 years of relevant experience with BI/DW ecosystem
Good understanding of Cloudera Hadoop architecture
Good understanding these Hadoop components
Hadoop/MapReduce
Hue
Storm
Kafka
Impala
Knowledge in real-time or near real-time processes
Knowledge Databases like SQL Server, Oracle, Teradata is an asset
Knowledge Informatica ETL tool is an asset
Excellent communication skills in English and/or French (written and oral)
Strong capacity to communicate ideas and solutions to non-technical people

Hadoop Engineer Resume Examples & Samples

Develop internal and client applications using a modern Big Data toolkit (Hadoop, Elasticsearch, MongoDB, Storm, etc.)
Work onsite at client
At least 1 year of experience in one of the following areas
Has excellent oral and written communication skills

Senior Hadoop Engineer Resume Examples & Samples

Lead software development in a collaborative team environment using Scrum Agile methodologies, primarily using Java and JavaScript with frameworks
Lead designing, building, installing, configuring applications that lend themselves to a continuous integration environment
Lead analysis of data stores and uncover insights
Experience in developing for high performance and large Hadoop clusters
Strong understanding of Hadoop architecture, storage and IO subsystems, network and distributed systems
Expert scripting with shell scripting (Bash, PHP, PERL, Python, etc.)
Expert with versioning, change control, problem management and troubleshooting
Experience with RDBMS technologies and SQL language; Oracle and MySQL highly preferred
Hands on experience with open source management tools (Pig, Hive, Flume, Thrift API, etc.) including participation in the community
Hadoop Developer Certified

ETL / Hadoop Engineer Resume Examples & Samples

Troubleshoot and develop on Hadoop technologies including HDFS, MapReduce2, YARN, Hive, Pig, Flume, HBase, MongoDB, Accumulo, Tez, Sqoop, Zookeeper, Spark, Kafka, Storm, and Hadoop ETL development via tools such as Informatica, Pentaho
Participate in analysis of data stores and help uncover insights
Assist and support proof of concepts as Big Data technology evolves
3+ years of ETL data integration development, Scrum Agile, and software architecture
Some experience developing utilizing Big Data Hadoop Ecosystem components (Sqoop, Hive, Pig, Flume, etc.)
Experience with RDBMS technologies and SQL language; Teradata and Oracle highly preferred
Data modeling (Entity-Relational-Diagram)

Engineer, Hadoop Engineer Resume Examples & Samples

Understanding of high performance and large Hadoop clusters
Experience managing and developing utilizing open source technologies and libraries
Experience with Java Virtual Machines (JVM) and multithreaded processing
Experience with versioning, change control, problem management and troubleshooting

Senior Hadoop Engineer / Architect Resume Examples & Samples

Lead a team of highly motivated data integration engineers
Provide technical advisory and expertise on Analytics subject matter
Create, implement and execute the roadmap for providing Analytics insight and Machine Learning
Identify useful technology that can be used to fulfill user story requirements from an Analytics perspective
Experiment with new technology as an ongoing proof of concept
Architect and develop data integration pipelines using a combination of stream and batch processing techniques
Integrate multiple data sources using Extraction, Transformation and Loading (ETL)
Build data lake and data marts using HDFS, NoSQL and Relational databases
Manage multiple Big Data clusters and data storage in the cloud
Collect and process event data from multiple application sources with both internal Elsevier and external vendor products
Understand data science and work directly with data scientists and machine learning engineers
8+ years experience in software programming using Java, JavaScript Spring, SQL, etc
3+ years experience in service integration using REST, SOAP, RPC, etc
3+ years experience in Data Management, Data Modeling
Python, Scala or any semi-functional programming preferred
Excellent SQL skills from different range levels of ANSI compliancy
Basic knowledge of Applied Statistics
Advanced knowledge of Systems and Service Architecture
Advanced knowledge of Polyglot Persistence and use of RDBMS, In-Memory Key/Value stores, BigTable databases and Distributed File Systems such as HDFS and Amazon S3
Industry experience working with large scale stream processing, batch processing and data mining
Extensive knowledge of the Hadoop ecosystem and its components such as HDFS, Kafka, Spark, Flume, Oozie, HBase, Hive
Experience with at least one of the Hadoop distributions such as Cloudera, Hortonworks, MapR or Pivotal
Experience with Cloud services such as AWS or Azure
Experience with Linux/UNIX systems and the best practices for deploying applications to Hadoop from those environments
Advanced knowledge of ETL/Data Routing and understanding of tools such as NiFi, Kinesis, etc
Good understanding of DevOps, SDLC and Agile methodology
Software/Infrastructure Diagrams such as Sequence, UML, Data Flows
Requirements Analysis, Planning, Problem Solving, Strategic Planning
Excellent Verbal Communication, Self-Motivated with Initiative
Education business domain knowledge preferred

Hadoop Engineer / Integrator Resume Examples & Samples

Contributing member of a high-performing, agile team focused on next generation data & analytic technologies
Provide senior level technical consulting to create and enhance analytic platforms & tools that enables state of the art, next generation Big Data capabilities to analytic users and applications
Engineering and integrating Hadoop modules such as YARN & MapReduce, and related Apache projects such as Hive, Hbase, Pig
Provide senior level technical consulting to application development teams during application design and development for highly complex and critical data projects
Code and integrate open source solutions into the data-analytic ecosystem
Develop fast prototype solutions by integrating various open source components
Be part of teams delivering all data projects including migration to new data technologies for unstructured, streaming and high volume data
Developing and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spark, Apex, Flink, Storm and Kafka
Utilizing programming languages like Java, Spark, Python and NoSQL databases like Cassandra
Developing data management and governance tools on an open source framework
Hands on experience leading delivery through Agile methodologies
Experience developing software solutions to build out capabilities on a Big Data and other Enterprise Data Platforms
2+ year Experience with the various tools & frameworks that enable capabilities within the data ecosystem (Hadoop, Kafka, , NIFI, Python, Hive, Tableau, MapReduce, YARN, Pig, Hbase, NoSQL)
Experience developing data solutions on AWS
Experience designing, developing, and implementing ETL and relational database systems
Experience working with automated build and continuous integration systems (Chef, Jenkins, Docker)
Experience with Linux including basic commands, shell scripting and solution engineering
Experience managing code on Github
Experience with data mining, machine learning, statistical modeling tools or underlying algorithms

Hadoop Engineer Resume Examples & Samples

Basic analytical and creative problem solving skills for creation and testing of software systems
Basic communication skills to provide systems diagnoses and resolution for current systems
Basic interpersonal skills to interact with customers, senior level personnel, and team members

Hadoop Engineer Resume Examples & Samples

Support application monitoring data system handling the reporting built in Platfora (existing) as well as working on the new architecture for migration
Competent with Hive table creation, loading, and querying as well as newer technologies such as Spark and Jethro and be able to ingest data into Hadoop to multiple areas within the ecosystem such as HDFS
Work with the business on developing new reporting outside of Platfora within Tableau or some other reporting tool available while developing a new architecture that would adhere to the performance requirements
Bachelor's Degree (or higher) or High School Diploma/GED with 5+ years of database design architecture experience
5+ years of database design architecture experience
5+ years of extract/transform/load (ETL) engineering & design experience
1+ years of Hadoop core technologies (HDFS, Hive, YARN) experience
1+ years of Hadoop ETL technologies (Sqoop/Sqoop2) experience
Familiarity with Linux server management and shell scripting
SQL Server 2008+/BIDS experience
Tableau experience
Platfora/Zoomdata/AtScale experience
Kafka/Flume experience
Spark experience
Jethro experience
Java experience

Senior Hadoop Engineer Resume Examples & Samples

Excellent Linux skills and have hands-on experience administering an on-premise Hadoop cluster (master & worker nodes)
In depth knowledge of hardware sizing, capacity management, cluster management and maintenance, performance monitoring and configuration
Expertise with Red Hat Linux installation/management/administration
Expertise with Hadoop Cluster administration and management
Expertise with Hadoop/MapReduce/Hive
Knowledge of SQL/Impala, Database Design and ETL skills

Hadoop Engineer Resume Examples & Samples

Extensive experience with Java, and the willingness to learn new technologies. Experience with other object-oriented languages will be considered, but our code is Java so you should be able to get up-to-speed on at least one of them quickly)
The Hadoop eco-systems and/or other such technologies (examples include Hive, Pig, MapReduce, HDFS, HBase, Accumulo, Cassandra, Kafka, Storm and Spark). Familiarity with Hortonworks is ideal
Delivering business relevant solutions using the tools and technologies mentioned previously
Experience developing systems to handle high volumes of streaming data
Experience with Relational database design, SQL, and Cluster management is desired
Linux experience, including
Linux/Unix and scripting languages like Bash, Python, etc.,
Linux command line experience,
Basic Linux administration skills a plus
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B
Drug Testing: All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP)

Senior Cloud Hadoop Engineer Resume Examples & Samples

Work with Teradata Hadoop Engineering organization to facilitate the deployment of new database releases into the Cloud ecosystem
Define standardized / automated cloud database release processes
Develop procedures/tools to map customer requirements into standardized cloud instances
Create ordering, provisioning, configuration management, monitoring, and maintenance procedures
Bachelor's degree in computer science, computer engineering or related technical field
7+ years of experience in deploying new software into a live production environment
Experience operationalizing the mass deployment of custom server and storage systems to support very large database systems
Experienced with staging of large database computers including firmware and software loads followed by database installation and configuration
Experience with automated CM and deployment tools such as Chef, Puppet, or Ansible
Experience writing software to configure systems and gather system data/set parameters
Experience interfacing directly with end Customers
Experience w/Teradata solutions including the Teradata RDBMS, Teradata Aster, Hadoop, and/or Big Data Discovery environments
Advance knowledge of Hadoop, Linux/UNIX
Broad expertise in the entire portfolio of Teradata products, and how they are currently deployed to on-premises customers
Teradata Certification
Experience supporting cloud based analytics solutions
Hands-on experience with public cloud services (AWS, Azure, Google)
Knowledge of Security Standards (ISO27001, SSAE16, PCI, HIPAA, etc)
Teradata's total compensation approach includes a competitive base salary, 401(k), strong work/family programs, and medical, dental and disability coverage
Teradata is an Equal Opportunity/Affirmative Action Employer and commits to hiring returning veterans

Hadoop Engineer Resume Examples & Samples

Implement new Hadoop infrastructure as well as interfaces / APIs to meet the aforementioned objective
This support would include filesystem management and monitoring, cluster monitoring and management and automating / scripting backups and restores
Troubleshoot using logs and monitors should errors arise
BS or MS in Computer Science, Computer Engineering, Mathematics. Strength in both fields is necessary; double majors are a big plus
3+ years experience with C or Java and Python
Experience translating math into efficient code

Senior Hadoop Engineer Resume Examples & Samples

Create defect tracking tickets
Lead on creating and enhancing technical bulletins, procedures and support processes such as change control templates, service bulletins, support tools, problem scenario reporting rules, knowledge articles, etc
Actively participate on online forums, respond to questions and contribute content to enable self-service
Work closely with Engineering team members, ideally co-locate with engineering team members
Debug customer issues and make code changes, and engage the right engineer(s) as needed in order to resolve customer issues as rapidly as possible
Actively watch common configuration issues and user errors happening with developers and testers during development and testing, collect and document them, working with data scientist to formularize them into learning cases and feed them into the service analytics machine learning system
Ph.D in Computer Science or related discipline with 3 years of experience in the field OR
Extensive working knowledge/Experience of Hadoop
8 years of experience programming gained through a combination of academic studies and work experience. Strong Python (preferred) and/or Java / C++ skills
5 year of experience working with complex software in a parallel processing environment gained through a combination of academic studies and work experience
Experience deploying and troubleshooting complex distributed systems
Excellent interpersonal skills. Will be expected to communicate well with engineers, product managers, customers and consultants
Eagerness and aptitude for learning things quickly
Ability to work various shifts (i.e. after-hours, weekends, and holidays) as needed
Ability to provide 24x7 rotating on-call support

Senior Hadoop Engineer Resume Examples & Samples

Responsible for implementation and ongoing administration of Hadoop infrastructure of some or all of the big data systems in distributed cloud environments
Setup security using Kerberos and AD on Cloudera and Hortonworks clusters
Setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Pig and MapReduce access for the new users
7+ years of experience in Information Technology operations
7+ years of relevant professional experience in Unix and Linux Systems, server hardware, virtualization, RedHat
4+ years of demonstrated customer management experience
4+ years working in a corporate datacenter environment
3+ years Hadoop experience
3+ years AWS/Azure experience
Proven experience with automation
Basic understanding of TCP/IP networking
Excellent troubleshooting techniques
Good communication skills over the phone, e-mail and documentation
Strong team player capable of providing support across the IT organization to train and assist others
Demonstrable ability to work with a diverse team across global time zones (i.e., US, India, Europe) to effectively complete tasks and objectives
Ability to balance multiple priorities and meet specific deadlines through the use of strong organizational skills
Highly energetic, self-motivated, quick learner with the ability to work independently
Strong dedication, work ethic, sense of teamwork, and professional attitude
Proven history of constantly striving for improved methodology, efficiency, and work processes
Ability to work under considerable pressure managing multiple tasks and priorities
Demonstrates the ability to produce high-quality results with attention to details
Strong interpersonal, leadership, and team communications skills are essential
Willing to Travel domestically and internationally (5%)

Hadoop Engineer Resume Examples & Samples

3+ years of proven industry experience working on the backend services or infrastructure for a large scale, highly distributed web site or web service
Solid foundation in computer science fundamentals with sound knowledge of data structures, algorithms, and design
Strong Java or other object-oriented programming experience or, even better, experience and/or interest in functional languages (we use Scala!)
Familiarity with JVM profiling and GC tuning. Experience with tools like YourKit, JMH, statsd-jvm-profiler or equivalents a plus
Experience designing and deploying large scale distributed systems, either serving online traffic or for offline computation
Bonus points for experience with Hadoop, MongoDB, Finagle, Kafka, ZooKeeper, Graphite (or other time series metrics stores), JVM profiling, Grafana, Linux system administration, Chef (or equivalent experience with Puppet, Ansible, etc.), Aurora (or other cluster management frameworks like Marathon or Kubernetes)
Comfortable in a small and fast-paced startup environment
Bachelors Degree or higher in Computer Science, Electrical Engineering or related field

Hadoop Engineer Resume Examples & Samples

Participate in the enterprise infrastructure vision and strategy
Focused on service reliability and sustainability
Develop and execute plans for complex systems backed by excellence, confidence, and thorough engineering analysis; and
Technology experience required; Hive, Hbase, Sqoop, Ranger, zookeeper, NIFI
Other technologies good to have; Spark, Phoenix, Spring Batch, Accumulo
In depth experience with one of the major Hadoop distributions
5-10 years’ experience with Unix management, complex computing platforms, and/or cutting-edge technologies involving virtualization, distribution, and high performance computing
Bachelors degree in Computer Science, technical field, or equivalent experience

Hadoop Engineer / Administrator Resume Examples & Samples

Manage and lead a team of Database Administrators
Actively participate in all phases of project development life cycle including database policies, procedures, standards and supporting documentation, database design, process flow analysis, development, benchmark analysis, performance/tuning, capacity planning, and production implementation
Production support responsibilities include maximizing system availability, ensuring swift and complete database recovery, optimizing database and availability through ongoing maintenance, and ensure conformance to audit and operating standards
Provide status reports to senior management
Participate in the evaluation, and recommendation of appropriate hardware and software resources
Conduct employee performance appraisals, provide feedback, coaching, team building and training/education to team members
Conduct interviews for recruitment of full-time and consulting positions as required
Assisting with communication interfaces/integration to associated systems
Upholds enterprise policy guidelines and recommends new and improved guidelines
Provide Hadoop Administration support which includes infrastructure setup, software installation (MapR, Hortonworks, Cloudera, etc.), configuration, upgrading/patching, monitoring, trouble shooting, maintenance, and working with development team to install components (Hive, Pig, etc.) and manage MapReduce jobs
Uphold enterprise policy guidelines and recommend new and improved guidelines to ensure compatibility and better service for end-users
Performing capacity monitoring and short and long-term capacity planning in collaboration with development resources, system administrators and system architects
Maintaining security according to best practices and generating security solutions that balance auditor requirements with user requirements
Automation using shell scripting
Participating in 24x7 on call rotation and customer service experience
Implement DR strategy for Hadoop Distributions collaborating with storage and Unix teams
Identifying and initiating resolutions to user problems/concerns associated with big data functionality (hardware and software)
Staying abreast of the most current release of MPP technology (Netezza) and HADOOP (major distributions), including compatibility issues with operating systems, new functionalities and utilities
Provide Administration support on Datameer
Assist in Capacity Planning and Security Implementation
Monitor overall standards and procedures
Assist in integrating various systems
Consult with users, determine requirements and make design recommendations. Educate and support onboarding of new team members
Strong Linux system administrator skills
Excellent knowledge of Hadoop architecture and administration and support
Proficient in YARN,SPARK, Zookeeper, HBASE, HDFS, Pig, Hive, Sqoop, Flume
Python, and shell scripting; experience with Chef a plus
Expert understanding of ETL principles and how to apply them within Hadoop
Be able to read java code, and basic coding/scripting ability in Java, Perl, Ruby, C#, and/or PHP
Experienced with linux system monitoring and analysis
Customer service experience / strong customer focus
Strong multi-tasking skills
Strong analysis and troubleshooting skills and experience
Self-starter who is excited about learning new technology
Databases (MySQL, Oracle, MSSQL)
Exposure to Virtualization
Exposure to security concepts / best practices
1+ years MPP and/or HADOOP administration experience
3+ years UNIX experience
1+ years Shell scripting
1+ years data analytics experience
5+ years Application Administration experience
MapR experience
Hortonworks experience
Websphere administration experience
Any Hadoop distribution experience
Any MPP appliance experience
Experience delivering presentations to senior leadership

Hadoop Engineer Resume Examples & Samples

BS or MS degree or equivalent experience relevant to functional area
Excellent Communication skills, both written and interpersonal
5 years of software engineering or related experience
At least 2 years of experience with Hadoop components, including hdfs, hbase, spark and kafka
Experience of maintaining and tuning live production systems
Proficient with Java and Python

Hadoop Engineer Resume Examples & Samples

Hadoop experience (hive, impala, spark, kafka, YARN .) They don't need experience with all of these but hsould have worked with at least 3 of them
Unix Background
Hadoop security knowledge - LDAP, Century or century roles
Any application architecture experience is a bonus.**

Senior Hadoop Engineer Resume Examples & Samples

Hands on experience with HDFS, Map Reduce, Spark, Hive, Airflow, Impala or similar technologies
Research, evaluate and utilize new technologies/tools/frameworks around Hadoop and AWS eco system
Excellent scripting skills in one or more (Java Script, Shell, Python etc.)
Strong understanding of Hadoop architecture with AWS
Build libraries, user defined functions and frameworks on Hadoop eco system
Implement automated testing for data transformation ensuring high quality for data integrity and consistency
Execute all components of product testing such as functional, regression, end to end testing, performance & load testing and Failure mode testing
Experience with performance/scalability tuning, algorithms and computational complexity
Proven ability to work cross functional teams to complete solution design, development and delivery
MS/BS degree in Computer Science or related discipline
6+ years’ experience in large-scale distributed application development
2+ year enterprise experience in Hadoop development

Hadoop Engineer Resume Examples & Samples

Enhances traditional data warehouse environment with Hadoop and other next generation Big Data tools
Provides expertise on database design for large, complex database systems using a variety of database technologies
Installs and configures Big Data servers, tools and database
Analyzes new data sources identified for the Enterprise Data Warehouse
Develops ETL requirements for extracting, transforming and loading data into the Data Warehouse
Creates ETL functional specifications that document source to target data mappings
Coordinates and collaborates with end users and business analysts in identifying, developing and validating ETL requirements
Requires a bachelor’s degree or equivalent
Requires at least 2-4 years of experience in a large Data Warehouse environment using Hadoop, HBase, Hive, Impala, Spark, Pig, Sqoop, Flume and/or MapReduce
Exposure to Teradata Data Warehouse environment
Data modeling and database design experience
Experience in providing IT applications development and systems implementation services to federal customers

Hadoop Engineer Resume Examples & Samples

Hadoop experience with applications including: hive, impala, spark, kafka, YARN
Unix Background - Administrative/Engineering
Hadoop security knowledge with LDAP, Century, century roles, or LDAP/Active Directory
Core Java, Shell, Python scripting experience

Senior Hadoop Engineer Resume Examples & Samples

Bachelors in computer science, or related technical discipline with a Business Intelligence and Data Analytics concentration
Passion for big data and analytics and understanding of Hadoop distributions
Good understanding of architecture and design principles
Exposure to new cloud technologies/tools/frameworks, particularly AWS
Exposure to streaming technologies like Kafka, AWS Kinesis etc
Experience in programming languages like Java, Python, SQL
Knowledge of statistical analysis and machine learning is nice to have
Build data pipelines using Hadoop ecosystem components such has Hive, Spark & Airflow
Automate Analytic platform solutions hosted in AWS, leveraging AWS managed services of EMR, S3, Lambda, KINESIS, SNS & SQS
Leverage your SQL, Python, scripting skills in a distributed computing environment
Build secure and highly available software solutions for high-performance, reliability and maintainability
Work in a collaborative environment that rewards innovation, problem solving and leadership
Implement full DevOps culture of Build, Test automation with continuous integration and deployment

Senior Hadoop Engineer Resume Examples & Samples

Excellent scripting skills in one or more (Java Script, Shell, Python, etc.)
Build libraries; user defined functions and frameworks on Hadoop eco system
Build continuous integration and test-driven development environment
Experience with performance/scalability tuning, algorithms, and computational complexity
Proven ability to work cross functional teams to complete solution design, development, and delivery
Experience with Machine Learning algorithms
Statistical analysis with R, Python or similar
Experience with NoSQL & Columnar Databases technologies such as Cassandra, Redshift/Hbase
Experiences with messaging & Complex event processing systems such as Kafka, Storm, and Spark

Hadoop Engineer Videa Resume Examples & Samples

Design and build systems that ingest, clean and transform data for use by our data scientists and their models
Ownership of a system that is the core of our data products by providing day-to-day production support of this Hadoop infrastructure
3+ years experience with Hadoop and Spark in particular
Proven ability at architecting scalable, high performance systems
Prior experience with machine learning algorithms and their implementations
Enthusiasm to work in a fast-paced team

Hadoop Engineer Resume Examples & Samples

Lead existing and emerging technology and development processes, ensuring that technologies and processes are aligned with the goals and strategies of the BB&T business strategy
Develop/invent highly innovative solutions within multiple technologies, theories and/or techniques that impact IT strategy
Identify and develop revolutionary business opportunities with significant impacts on the direction of IT Services and BB&T’s financial results
Build strong partnerships with senior management to drive development of BB&T’s strategy across IT and other functions
Bachelor’s degree in Information Systems-related curriculum, or equivalent education and related training
Business acumen and effective communication skills
Ability to create change

Hadoop Engineer Resume Examples & Samples

Understanding and hands on technical expertise of Insert data, building extracts and services layers to/from Hadoop / Impala data ecosystem for third-party analytics solution integration
Design a solution to enable other team members enable the Cloudera platform and help configure the platform
Proven data manipulation skills (SQL applied to Oracle and DB2 databases, scripting languages, Big Data related technologies)
The drive to deliver on commitments and an openness to new ideas
6-8 years of experience in IT Industry and 4+ years of experience in Big data platforms, Information delivery, Analytics and Business Intelligence based on data from Cloudera Hadoop
At least 4 year hands-on working experience with the following technologies: Hadoop, Mahout, Pig, Hive, HBase, Sqoop, Zookeeper, Ambari, MapReduce
Proven track record of architecting, designing, developing, implementing and maintaining large scale Cloud Data Service technologies and processes
Understanding of the benefits of big data ecosystem, data warehousing, data architecture, data quality processes, data warehousing design and implementation, table structure, fact and dimension tables, logical and physical database design, data modeling, reporting process metadata, and ETL processes
Experience with Netezza architecture and migrations to Hadoop stack is a must
Experience with Data Integration on traditional and Hadoop environments
Experience working with commercial distributions of HDFS, preferably Cloudera
Experience with Hadoop Cluster Administration and performance tuning

Hadoop Engineer / Developer Resume Examples & Samples

3+ years of direct experience in a big data environment specific to engineering, architecture and/or software development for a large production environment
Possess strong research, analytical and problem solving skills required to work with Petabytes or even Exabytes of data
Proven experience in a Hadoop ecosystem to include

Hadoop Engineer Resume Examples & Samples

Responsible for creating scripts in order to automate tasks within the client's environment
Build and upgrade the clients existing big data environment
Troubleshoot, patch, maintain, and secure the clients Hadoop environment
Provide the highest escalated level of support within the clients environment
Work closely with the vendor, Cloudera, to make sure the environment is running properly
Help plan, build, and run deployments and additions to the clients existing cloud environment
Ability to script for cron jobs
Experience supporting a Hadoop environment with over 50 nodes
Experience with Hadoop Administration

Hadoop Engineer Resume Examples & Samples

Responsible for implementation and ongoing administration of Hadoop infrastructure
Aligning with the systems engineering team to select, install, and upgrade software
Mentor other team members with performance tuning and tools
Support any process that needs attention in production environment

Senior Hadoop Engineer Resume Examples & Samples

Strong analytical and problem solving skills, fast and eager learner, solid foundation in data structures and algorithms
Algorithmic analysis skills and ability to design with various time/space/quality/latency trade-offs
Exposure to batch algorithms/systems such as Hadoop, Hive, Scalding, Map Reduce
Experience with scripting in Scala/Python etc
BS + 6 years, MS + 4 years, PhD + 1 year of work experience in a similar role
Ability to navigate and work through ambiguity
Proven experience to complete complex projects from start to end
Proven background in Distributed Computing, Data Warehousing, ETL development, and large scale data processing
Strong functional programming skills in Scala/ML/Haskell/Lisp etc
Background in statistics, hypothesis testing etc
Knowledge of Spark, Storm, Kafka, NoSQL databases
Good testing practices (unit, integration, system) with automation
Company Summary

Hadoop Engineer, Principal Resume Examples & Samples

Administrating, monitoring and tuning an existing Hadoop Clusters
Providing hardware architectural guidance, planning and estimating cluster capacity, and creating roadmaps for Hadoop cluster deployment
Installing and/or Upgrading Cloudera Distribution of Hadoop
Manage extracting, loading and transforming data in and out of Hadoop, primarily using HIVE, IMPALA
Participate 24/7 on-call rotation schedule
10 years of previous UNIX working experience
3+ years of experience working with administrating Hadoop and Hive echo system
Proficient with Linux shell scripting
Familiarity with YARN, IMPALA, Sqoop, Pig
On-call production support experience
Flexible working hours are required to support the platform

Hadoop Engineer Resume Examples & Samples

BI Tool integration with Hadoop
Experience with database replication and scaling
Linux (RHEL) proficiency a must
Scripting experience
Must posses good analytics and problem solving skills
Must be willing to work flexible hours

Senior Hadoop Engineer Resume Examples & Samples

Create an innovative environment in which experimentation is welcomed and new solutions can be quickly implemented and iterated, while still maintaining a high level of quality
Lead B2B (business-to-business) big-data analysis effort, working closely with our corresponding team in Strategy to establish data management and analysis best practices
Minimum of 5 years of years of Object-Oriented programming experience with a minimum of 4 years of Java experience, and 3 years of Hadoop experience
Must demonstrate strong, proven knowledge of Hadoop and related technologies , specifically deep insights into Spark, Hive, Sqoop and Pig, as well as a workflow tool like Oozie or AirFlow
Solid general development skills, with proven experience working on complex big data systems as well as general database technologies like Oracle, and NoSQL databases like Cassandra or similar
Experience must include web services and RESTful APIs, processing of time series analytics using Druid or similar, working in a cloud environment like AWS and devops tasks on Linux, working in an Agile environment
Must demonstrate exceptional troubleshooting and strong architectural skills, and clearly and effectively describe this in both a verbal and written format

Download Hadoop Engineer Resume Sample as Image file