Senior Hadoop Resume Samples

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B Jenkins

Bella

Jenkins

9882 Vidal Brook

Philadelphia

+1 (555) 557 7013

9882 Vidal Brook

Philadelphia

Phone

p +1 (555) 557 7013

Experience Experience

San Francisco, CA

Senior Hadoop Admin

San Francisco, CA

Bashirian and Sons

San Francisco, CA

Senior Hadoop Admin

Responding to HADOOP related alerts and escalations and working with database engineering to come up with strategic solutions to recurring problems
Plans, performs, and acts as the escalation point for the most complex platform designs, coding, and testing
Acts as expert technical resource to programming staff in the program development, testing, and implementation process
Reviewing service related reports on a daily basis to ensure related issues are identified and resolved within established timelines
Leads most complex multiple modeling, simulations, and analysis efforts
Proactively identify opportunities to implement automation and monitoring solutions
Perform Capacity Planning of Hadoop Cluster and provide recommendations to management to sustain business growth

New York, NY

Senior Hadoop Data Scientist

New York, NY

Schulist-Waelchi

New York, NY

Senior Hadoop Data Scientist

Provides consulting support to projects during the vision and strategy, architecture, and development phases (Methodology)
Assist client support team with Application issue resolution
Develop internal and client applications using a modern Big Data toolkit (Hadoop, Elasticsearch, MongoDB, Storm, etc.)
Works independently within a business area and assists at the enterprise level to influence the technical decisions during all phases of the project (Technical)
Influences decisions and project direction at the executive level (Relationship Management)
Provides input in identifying issues and considerations for selecting business application packages and vendors (Business)
Leads a team of 6-10 resources (company, client and third-party resources) in area of expertise to conclusion of a project phase (Management)

present

New York, NY

Senior Hadoop Systems Engineer

New York, NY

Monahan-Purdy

present

New York, NY

Senior Hadoop Systems Engineer

present

Follow all enterprise change management and demand management processes
Document best practices in developing and deploying Hadoop solutions
Lead small to medium sized infrastructure projects with a team spanning multiple areas & disciplines, utilizing project management concepts and best practices
Provide IT and business partners consultation on using the Hadoop platform effectively; Advocate Hadoop technology; Be a thought-leader in the big data space
Manage installation, configuration, and troubleshooting of Hadoop platform including hardware, and software
Manage licensing and track finances for the Hadoop platform
Managing Hadoop production environment comprising of 100+ hosts

Education Education

Bachelor’s Degree in Information Management

Florida Atlantic University

Bachelor’s Degree in Information Management

Skills Skills

Ability to read, write, speak and understand the English language to communicate with employees, customers, suppliers, in person, on the phone, and by written communications in a clear, straight-forward, and professional manner
Ability to communicate orally and in writing in a clear and straightforward manner
Ability to communicate with all levels of management and company personnel
Ability to handle multiple projects and tasks
Ability to make decisions and solve problems while working under pressure
Ability to prioritize and organize effectively
Ability to effectively consult with department managers and leaders
Ability to use personal computer and software applications (i.e. word processing, spreadsheet, etc.)
Ability to work independently
Ability to work with others to resolve problems, handle requests or situations

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8 Senior Hadoop resume templates

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Senior Hadoop / ETL Engineer, Gravity Resume Examples & Samples

Take ownership of systems and maintain responsibility for your code throughout the software lifecycle
Rapidly fix bugs and solve problems
Integrate with existing systems and tools
Identify and address application and system performance bottlenecks in a high throughput production environment
Experience with Hbase and/or Impala
6+ years of industry experience

Senior Hadoop / ETL Engineer Resume Examples & Samples

Take ownership of job flows and maintain responsibility for your code throughout the software lifecycle
Work in and contribute to a shared codebase
Experience with Cascading
Experience with Oozie
Experience with various input/output file formats, i.e. Parquet
Experience with multi-cluster environments
Experience with MapReduce, Impala, and/or Big Data infrastructures
Any Engineer who can also demonstrate gre

Senior Hadoop Infrastructure Administrator Resume Examples & Samples

10 or more years of Knowledge in Linux and Unix shell scripting, Infrastructure Administration
10 years of experience working with extremely high throughput, high availability data processing systems
A focus on high quality deliverables and meeting deadlines
Be someone who will bring ideas to the table
A collaborative style and a focus on continuous improvement, quality and planning, teamwork, strong communication
Experience with database and data warehousing systems such as Oracle/ SQL Server, Teradata or Netezza
Knowledge of SQL, database design, ETL processes
Good understanding of big data database architecture, indexing, and partitioning
Ability to learn new tools and systems quickly
Expert at writing detailed, actionable requirements and/or technical specifications
Experienced with engaging technical architects, application architects, and development teams

Senior Hadoop Data Scientist Resume Examples & Samples

Works independently within a business area and assists at the enterprise level to influence the technical decisions during all phases of the project (Technical)
Knows relevant issues and considerations in selecting both technical software packages and vendors including capabilities, clients who have installed them, and user experiences with them (Technical)
Designs and constructs interfaces across platforms (Technical)
Provides consulting support to projects during the vision and strategy, architecture, and development phases (Methodology)
Leads a team of 6-10 resources (company, client and third-party resources) in area of expertise to conclusion of a project phase (Management)
Provides input in identifying issues and considerations for selecting business application packages and vendors (Business)
Manages client expectations and balances the needs of the company and clients to ensure satisfaction for both (Relationship Management)
Influences decisions and project direction at the executive level (Relationship Management)
Performs consultative selling and leverages business through superior delivery skills, client relations and subject matter expertise (Leverage)
Participates in proposal efforts and sales calls (Leverage)
Communicates in formal presentation settings including medium to large sized groups of key decision makers at the executive level; tailors presentations to needs and interests of the audience. Develops articles and white papers covering areas of expertise (Communication)
Computer science or math/engineering education background
Solid understanding of data science including predictive modeling, machine learning, and text analytics
Should have 1+ years’ experience in each of the following
History of adapting to new technologies and frameworks
Enjoys being challenged and solve complex problems on a daily basis

Senior Hadoop Analyst Resume Examples & Samples

Support current build and delivery of data within the SAS environment, adhering to standards and good guidelines. Follow good data management practices and include controls in the development process
Design, build and deliver data appropriate for consumption in the Hadoop platform, through reporting tools (Tableau)
Design appropriate data controls for SAS and Hadoop data platforms
Train and coach team members, key stakeholders and data consumers, to help transition to Hadoop
Develop standards for data delivery and development using Hadoop
Define and publish data definitions, maintain data lineage documentation, and support the overall data governance operating model
A Bachelor’s degree in Information Management, Computer Science or related business, engineering or quantitative field (MIS, Operations Research, Statistics, Physics, Engineering)
2+ years of Hadoop experience
5+ years of data extraction experience and manipulation using SQL
5+ years of experience working in large data warehousing environments (Oracle, Teradata) for analytic applications
Demonstrable experience driving projects to completion, and bringing continuous improvement ideas for current projects
Ability to work effectively in a geographically distributed team environment
Understand and work with diverse individuals and teams
Good understanding of the Financial Services industry is preffered
Identify, adopt and promote best practices from the industry, past experience and cross-functional teams across TIAA
Strong business acumen and ability to understand business problems and design appropriate data solutions
Time Management – Manage focus and productivity across multiple, competing projects
Results oriented – understand business impact of projects; prioritize and perform activities that provide the greatest results and impact
Experience with SQL, BASE SAS or similar data processing language a strong plus. The ability to be “hands-on” with the data and ability to conduct research into data issues is required

Applications Developer Iv-senior Hadoop Data Engineer Resume Examples & Samples

Minimum 2 years of designing, building and coding applications using Hadoop and NoSQL components - HDFS, HBase, Hive, Sqoop, Flume, Spark, MapReduce, Cassandra, MongoDB, etc. for production applications
Minimum 2 years of designing and organizing large scale data for a Hadoop/NoSQL data store
Minimum 2 year of MapReduce coding, including Java, Python, Pig programming, Hadoop Streaming, HiveQL for data anlysis of production applications
Technically design & architect, implement and deploy custom applications on Hadoop/NoSQL
Manage a project, risks & issues, and status reporting; lead a team (onshore/offshore) and provide technical subject matter expertise in support of the following
Bachelor's degree and eight years related work experience or twelve years related work experience post high school
2+ years of hands-on experience designing and implementing data applications in production using emerging technologies such as Hadoop Ecosystem (MapReduce, Hive, HBase, Spark, Sqoop, Flume, Pig etc.), NoSQL(e.g.Cassandra, MongoDB, Riak), In-Memory Data Technologies
Modeling data for NoSQL data stores and building applications around them
3 years industry systems development and implementation experience OR Minimum of 2 years of data loading, acquisition, storage, transformation, and analysis
Experience with the following task using above mentioned emerging technologies

Senior Hadoop / Big Data Engineer Resume Examples & Samples

Minimum 5+ years of hands on experience with Hadoop and Big Data stack using Python, Java or Scala
Software development experience, ideally in Big Data technologies
Experience with AWS services stack
Ideally, someone who is an open source contributor or committer to Spark/Hadoop committer and PMC Members for Apache level projects
Experience with SQL RDBMS like SQL Server, Oracle and My SQL or MPP databases like Vertica, Teradata and Netezza
Experience working with large data sets, experience working with distributed computing a plus (Map/Reduce, Hadoop, Hive, Apache Spark, etc.)
Experience in Extract data from multiple structured and unstructured feeds by building and maintaining scalable ETL pipelines on distributed software systems
Programming experience in Java, Scala and Python. Python a plus
Knowledge of Hadoop or similar data processing frameworks (such as EMR, Hadoop, Spark) and a good understanding of optimization techniques
Understanding of NoSQL data stores, messaging or pub-sub queuing systems and data processing frameworks
Working knowledge of Computer Algorithms
Excellent communication skills with both technical and non-technical audiences
You are curious, have a research mindset, love bringing logic and structure to loosely defined unstructured problems and ideas
You hold yourself and your colleagues to a high bar, and take great pride in your attention to details. You inspire us to aim higher
You are resilient, passionate, and creative
You’ll work on a small, cross-functional agile team to design & ship features & functionality as rapidly as possible
Experience with private cloud platforms such as Amazon AWS, Microsoft Azure
Experience with software development & delivery in a SaaS and PaaS environment
Experience developing web services, APIs or data libraries
Curious. You ask why, you explore, you're not afraid to introduce and defend a crazy idea
Data Savvy You know how to move data around, from a database or an API, through a transformation or two, a model and into human-readable form (ROC curve, chart, map, visualization, etc.). You know Python, Java, R, C/C++, Spark, Storm, Julia, SQL or think everything can be done in a SQL one-liner
Do-er. You have a bias toward action, you try things, and sometimes you fail. Expect to tell us what you’ve shipped and what’s flopped
Fearless. Big, undefined problems and petabytes don’t frighten you. You’re not intimidated by new tools or technologies

Iad-senior Hadoop Devops Engineer Resume Examples & Samples

Sound knowledge of UNIX and TCP/IP network fundamentals
Expertise with Hadoop and its ecosystem Hive, Pig, Spark, HDFS, HBase, Oozie, Sqoop, Flume, Zookeeper etc
5+ years managing clustered services, distributed systems, production data stores
3+ years experience administering and operating Hadoop clusters
Cloudera CHD4 /CDH5 cluster management and capacity planning experience
Ability to code well in at least one language (Shell, Ruby, Python, Java, Perl, Go)
Ability to rapidly learn new software languages, frameworks and APIs
Sharp and tenacious troubleshooting skills
Experience scripting for automation and config management (Chef, Puppet)
Multi-datacenter deployment experience is a plus

Siri Senior Hadoop / Data Operations Engineer Resume Examples & Samples

5+ years of industry experience working with large-scale systems
Engineering lead on at least three customer-facing features with year-long development cycles
Expert knowledge of one or more object-oriented programming languages (Java, C++)
Ability to leverage several scripting languages (Python, Ruby, Bash, etc.)
Have developed the bring-up or expansion of large-scale backend storage systems
Experience with Hadoop ecosystem (HBase, HDFS, Pig, Hive, MapReduce, Flume), Spark and KafkaStrong communication skills and experience working on cross-functional projects

Senior Hadoop Operations Engineer Resume Examples & Samples

Strong understanding of JVM debugging, management and tuning
Familiarity with open source configuration management and deployment tools such as Ansible, Puppet or Chef and Linux scripting
Familiarity with Java programming
Familiarity with Virtual Machines, Dockers and cloud computing environments

Senior Hadoop Big Data Engineer Resume Examples & Samples

Work experience in Hadoop stack, ETL and Data Warehousing
Experience working with large datasets, relational databases (SQL), and distributed systems using python
Data Savvy. You know how to move data around, from a database or an API, through a transformation or two, a model and into human-readable form (ROC curve, chart, map, visualization, etc.). You know Python, Java, R, C/C++, Spark, Storm, Julia, SQL or think everything can be done in a SQL one-liner
Fearless. Big, undefined problems and petabytes don’t frighten you. You’re not intimidated by new tools or technologies. You hold yourself and your colleagues to a high bar, and take great pride in your attention to details. You inspire us to aim higher
Resilient. Passionate. Creative. You will work on a small, cross-functional agile team to design & ship features & functionality as rapidly as possible

Senior Hadoop Operations Engineer Resume Examples & Samples

Manage large scale Hadoop cluster environments, including design, capacity planning, cluster setup, performance tuning and ongoing monitoring
Lead troubleshooting on Hadoop technologies including HDFS, MapReduce, YARN, Hive etc
Partner with Operations and Engineering teams to automate deployment and operation of the Data infrastructure
Share an on-call rotation and handle service incidents

Senior Hadoop Systems Engineer Resume Examples & Samples

Managing Hadoop production environment comprising of 100+ hosts
Work with our customers to understand their data needs and design, build and support those solutions
Document best practices in developing and deploying Hadoop solutions
Maintain, Upgrade and Secure the Hadoop environment
Cluster planning and maintenance by creation and removal of nodes
Ability to develop scripts and automate manual tasks
Provide on call support when required - out of office hours
3 years – Linux Administration + 4 years of Hadoop Administration
Any Technical / Bachelor’s Degree
Experience in Linux System administration on RHEL 6.x and Suse Linux
Knowledge of Hadoop and the Hadoop ecosystems
(MapReduce, HDFS, YARN, Hive, HBase, Spark, Sqoop etc)
Hands on experience in configuring Spark etc. on top of Hadoop Platform
Experience in installing Hadoop clusters, modifying configurations and troubleshooting in any of the following distributions Cloudera, Hortonworks and MapR
Hands on experience in Linux shell scripting and automation
Flexibility and ability to learn new technologies quickly
Ability to quickly translate requirements to prototype
Good knowledge in Microsoft Office applications including Word, Excel and other tools that facilitate the requirements gathering and design phases of the SDLC
Passionate about solving business problems, Innovative, creative and an outside-the-box mindset
Excellent Analytical skills and strong attention to detail
Must possess critical thinking and problem solving skills
Good communication, interpersonal and collaborative skills
Ability to work and communicate effectively as part of a distributed team

Senior Hadoop Systems Engineer Resume Examples & Samples

Manage installation, configuration, and troubleshooting of Hadoop platform including hardware, and software
Plan, test, and execute upgrades involving Hadoop components; Assure Hadoop platform stability and security
Design, document, and implement administration producers, security model, backup, and failover / recovery operations for Hadoop platform
Act as the point of contact with multiple vendors; Oversee vendor activities related to support agreements
Maintain multi-year roadmap for the Hadoop platform, including plans for software upgrades, capacity growth; Research, analyze, and evaluate software products for use in the Hadoop platform
Provide IT and business partners consultation on using the Hadoop platform effectively; Advocate Hadoop technology; Be a thought-leader in the big data space
Manage licensing and track finances for the Hadoop platform
Lead small to medium sized infrastructure projects with a team spanning multiple areas & disciplines, utilizing project management concepts and best practices
Follow all enterprise change management and demand management processes
Typically has a minimum of 5+ years of hands on experience in information technology infrastructure, with strong aptitude with: software/solution development/delivery, Business Intelligence, Analytics, Big Data, Information Delivery, High Performance Computing, and/or Databases
Have a deep understanding of capabilities and the direction of technology and applications, coupled with an in-depth knowledge of the technology required and the needs of business environment necessary to support assigned application/function and/or projects
Educated to BA, BS degree and/or level higher, a plus

Senior Hadoop Data Engineer Resume Examples & Samples

Selecting and integrating Big Data tools and frameworks required to provide requested capabilities
Implementing Data ingestion and ETL processes on Hadoop
Monitoring performance and advising any necessary infrastructure changes
Defining data retention policies
Develop applications that are scalable to handle millions of events/records
Design and launch scalable, reliable and efficient processes to move, transform and report on large amounts of data
Follow our Agile software development process with daily scrums and monthly Sprints
Ability to work collaboratively on a cross-functional team with a wide range of experience levels
Bachelor's degree and 8+ years relevant experience or Master’s degree and 6+ years of relevant experience
4+ years in industry implementing big data solutions on Hadoop
Experience with building stream-processing systems, using solutions such as Storm or Kafka and Spark-Streaming
Good knowledge of Big Data querying tools, such as Pig, Hive, Phoenix
Experience with 1 or 2 NoSQL/Graph databases, such as HBase, Cassandra, MongoDB, Neo4j
Proficiency in a programming languages like SCALA, Java,Python
Experience with relational databases (SQL)
Experience in working with real-time data feeds
Experience in working with unstructured data
Experience in implementing Scoop Jobs to Import/Export data from Hadoop
Knowledge of various ETL techniques and frameworks, such as Pig, Hive, or Flume
Experience with Hortonworks Hadoop Data Platform (HDP)
Experience with all or some of the following supporting Hadoop administration and security frameworks: HCatalog, Drill, NiFi, Oozie, Falcon, Ranger, Ambari, Zeplin
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Senior Hadoop Data Administrator Resume Examples & Samples

Aligning with the systems engineering team to propose and deploy new hardware and software environments required for Hadoop and to expand existing environments
Working with data delivery teams to setup new Hadoop users. This job includes setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Pig and MapReduce access for the new users
Cluster maintenance as well as creation and removal of nodes
Develop new processes for better maintenance of the environments
Setup best practices for monitoring the cluster
Implement security for Hadoop big data
Participate in the on-call rotation to support a 7x24x365 for Production support
Mentor Junior developers on the team regarding better ways for existing development (performance tuning) and the new Hadoop ecosystem tools
NoSQL Environment responsibilities
Bachelor’s degree and 8+ years of experience required
Experience in working with Linux platform and setting up HA
Experience with NOSQL data bases a plus
In depth understanding of Linux, Knowledge of Java
In depth knowledge of Hortonworks Hadoop ecosystem tools, Kerberos, Ranger, Hadoop Authentication/Authorization, NoSQL databases; NoSQL data modeling techniques and map reduce design patterns

Senior Hadoop Specialist Resume Examples & Samples

Works closely with customers, Data/Business Analysts, and team members to understand business requirements that drive the analysis and design of quality technical solutions
Involved in the full systems life cycle and is responsible for designing, coding, testing, implementing and supporting application software that is delivered on time and within budget
Experience with some of the following ETL tools: SAS, SSIS, DataStage, Informatica
Has experience in systems design and a solid understanding of development, quality assurance and integration methodologies
Hands-on experience on Hadoop stack (Ex: HDFS, MapReduce, HBase, Spark, Oozie, YARN, Zookeeper, etc). Solid foundation in distributed systems concepts. Must have good programming skills with Java
Familiar with source-to-target mappings, test plans and other technical design/development documentation used in the bank
Must be "self-motivated" to learn the new technical skills and adaptive to fast changing technical environment
Must be a team player, able to work in Agile environment
Ability to deal with multiple projects and deadlines
Willing to understand business logic of the application and able to covey the tchnical ideas/solutions to non technical people, including internal client

Senior Hadoop / Infrastructure Tech Analyst Resume Examples & Samples

Expertise in developing shell and Unix scripting
Troubleshooting integration issues, root Cause Analysis preparing run books
Prior experience in Importing and Exporting Data between different Database systems like Oracle, Sybase, SQL Server and HDFS
Experience in benchmarking, throughput performance analysis
Experience in performing minor component upgrades,
Experience in handling multiple relational databases: Oracle, Sybase, SQL Server, DB2
Experience with NoSQL databases like Hive/HBase
Expertise in Installing, Configuration and Managing RedHat Linux 6.5+
Experience in supporting users to debug job failures
Proven ability in working with the development team members and other partners, with minimal supervision
Strong verbal and written communications skills, excellent interpersonal skills with ability to communicate well at all levels
Team Player, self-starter and thorough who is willing to take on any assigned job/responsibilities
Strong knowledge, understanding and application of project management principles and methodologies and Software Development Life Cycle (SDLC)
Ability to work under high-pressure situations and effectively prioritize in a highly dynamic work environment that includes a global focus
Strong problem solving and program execution skills while being process orientated
Ability to understand the big picture – can step back and understand the context of problems before applying analytical skills to address the issues

Senior Hadoop Test Specialist Resume Examples & Samples

Perform data masking and data mining
Work closely with the Test Manager/Test Lead starting from the planning stages of an engagement to analyze and define Test Data Strategy and Test Data Requirements of the project
During the later phases of the project this resource works with Database Administrators and Data owners to prepare the required test data
At the test execution phase the Test Specialist supports testing by addressing data related defects, providing any potential new data required as a result of changes and performing data maintenance activities as project moves through various levels of testing
At the end of test execution, the Test Specialist performs end of testing tasks to harvest potential re-usable test data assets for future projects
At least 5 year's experience in a testing role
Advanced technical knowledge, analytical skills and strong working knowledge of Hadoop / Big Data and ETL
Knowledge of Hadoop Ecosystem & SQL server
Hands on experience with ingestion / extraction
Experience with data warehouse projects, Data Masking, Data Integration, Data Mapping
Strong ETL knowledge - experience with ETL tool testing like informatica/datastage
Proficient with SQL and strong understanding of data, data modeling, data mining and ETL processes
Ability to define and establish Data Quality standards for data driven implementations on Hadoop platform and SQL Server
Knowledge of Unix/Linux system
Minimum 7+ years in a testing role
Knowledge of Hive, Pig tool, Sqoop, oozie, Spark

Senior Hadoop Admin Resume Examples & Samples

Acts in the highest level technical role as an individual contributor and/or team lead for the most complex computer applications and/or application initiatives
Utilizes a thorough understanding of available technology, tools, and existing designs
Works on the most complex problems where analysis of situations or data requires evaluation of intangible variance factors
Plans, performs, and acts as the escalation point for the most complex platform designs, coding, and testing
Leads most complex multiple modeling, simulations, and analysis efforts
Acts as expert technical resource to programming staff in the program development, testing, and implementation process
Reviewing service related reports on a daily basis to ensure related issues are identified and resolved within established timelines
Responding to HADOOP related alerts and escalations and working with database engineering to come up with strategic solutions to recurring problems
Manage scalable HADOOP cluster environment
Manage the backup and disaster recovery for HADOOP data

Maps Senior Hadoop Operations Engineer Resume Examples & Samples

Responsible for maintaining and scaling production Hadoop, HBase, Kafka, and Spark clusters
Responsible for the implementation and ongoing administration of Hadoop infrastructure including monitoring, tuning and troubleshooting
Provide hardware architectural guidance, plan and estimate cluster capacity, and create roadmaps for the Hadoop cluster deployment
Improve scalability, service reliability, capacity, and performance
Triage production issues when they occur with other operational teams
Conduct ongoing maintenance across our large scale deployments across the world
Write automation code for managing large Big Data clusters
Work with development and QA teams to design Ingestion Pipelines, Integration APIs, and provide Hadoop ecosystem services
Participate in the occasional on-call rotation supporting the infrastructure
Hands on to troubleshoot incidents, formulate theories and test hypothesis, and narrow down possibilities to find the root cause

Senior Hadoop Admin Resume Examples & Samples

Coordinate and perform routine installation, configuration, administration, monitoring maintenance including backup and recovery processes for Hadoop and Big Data platforms
Design and maintain access and security administration
Supports multiple clusters of medium complexity with multiple concurrent users, ensuring control, integrity and accessibility of data
Design, Implement, maintain Disaster Recovery (DR) methodologies and create documentation
Gather business requirements and Design, Implement of multiple Projects along with the Production Support
Create and maintain Standard Operational Procedures and templates
Proficient with setup/configuration of Cloudera CDH or Hortworks HDP
24 x 7 On Call pager rotation
Guide Developers, Architects, System Administrators and Software Analysts as needed
Strong desire to learn a variety of technologies and processes with a "can do" attitude
8-10+ years of hands-on experience in handling large-scale distributed platforms and integration projects
3+ years of experience administering Hadoop cluster environments and tools ecosystem: Cloudera/Hortonworks/Sqoop/Pig/HDFS
Experience in whole Hadoop ecosystem like HDFS, Hive , Yarn, Flume, Oozie, Flume, Cloudera Impala, Zookeeper, Hue, Sqoop, Kafka, Storm, Spark and Spark Streaming including NoSQL database knowledge
Expertise in high availability configurations, Hadoop cluster connectivity and tuning, and Hadoop security configurations
Understanding of Enterprise IT Operations practices for security, support, backup and recovery
Good understanding of Operating Systems (Unix/Linux), Networks, and System Administration experience
Good understanding of Change Management Procedures
Experience managing LDAP, Active Directory or Kerberos
Experience with hardware selection, environment sizing and capacity planning
Experience with Java, Python, Pig, Hive, or other languages a plus
Ability to read, write, speak and understand the English language to communicate with employees, customers, suppliers, in person, on the phone, and by written communications in a clear, straight-forward, and professional manner
Ability to communicate orally and in writing in a clear and straightforward manner
Ability to handle multiple projects and tasks
Ability to prioritize and organize effectively
Ability to use personal computer and software applications (i.e. word processing, spreadsheet, etc.)
Experience with cloud technologies(AWS)