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IT Specialty Resource - Richmond, VA

Qualifications:
Hadoop Administrator The ideal candidate will be required to have a deep understanding of Big Data technology. The candidate should have demonstrated experience as a technical leader with strong acumen in architecture, design, development, testing, and administration of Hadoop based solutions. The candidate will need to be capable of documenting and advising on best practices/guidelines, governance, and make recommendations for future state architecture and eco-systems. REQUIRED SKILLS:• Extensive experience in BI. data warehousing, analytics, and Big Data• Strong communication and influencing skills (oral, written, listening, interactions with senior leadership)• Ability to work independently and work within/outside the team to get things done • 3 to 4 years of experience in administration of On-premise Hadoop and its related ecosystems such as MapReduce (MRVx, YARN), Pig, Hive, Sqoop, Zookeeper, Oozie, Kafka, Hcatalog, Spark, Python etc. • Hands on experience with data analytics tools such as Splunk, Cognos, Tableau etc.• Data Governance, Security & Operations experience• Being on-call for off hours support (evenings and/or weekends)

Responsibilities:
Hadoop Administrator The ideal candidate will be required to have a deep understanding of Big Data technology. The candidate should have demonstrated experience as a technical leader with strong acumen in architecture, design, development, testing, and administration of Hadoop based solutions. The candidate will need to be capable of documenting and advising on best practices/guidelines, governance, and make recommendations for future state architecture and eco-systems. REQUIRED SKILLS:• Extensive experience in BI. data warehousing, analytics, and Big Data• Strong communication and influencing skills (oral, written, listening, interactions with senior leadership)• Ability to work independently and work within/outside the team to get things done • 3 to 4 years of experience in administration of On-premise Hadoop and its related ecosystems such as MapReduce (MRVx, YARN), Pig, Hive, Sqoop, Zookeeper, Oozie, Kafka, Hcatalog, Spark, Python etc. • Hands on experience with data analytics tools such as Splunk, Cognos, Tableau etc.• Data Governance, Security & Operations experience• Being on-call for off hours support (evenings and/or weekends)

 

 

 

 















 
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