Job Description :
Work closely with various team to understand the data requirements
Analyze incoming data requests for team and determine appropriate target solutions
Develop data service design
Lead the data service build, test and deployment
Partner with Enterprise data teams such as Data Management & Insights and Enterprise Data Environment (Data Lake) and identify the best place to source the data
Work with business analysts, development teams and project managers for requirements and business rules
Collaborate with source system and approved provisioning point (APP) teams, Architects, Data Analysts and Modelers to build scalable and performant data solutions
Effectively work in a hybrid environment where legacy ETL and Data Warehouse applications and new big-data applications co-exist
Work with Infrastructure Engineers and System Administrators as appropriate in designing the big-data infrastructure
Work with DBAs in Enterprise Database Management group to troubleshoot problems and optimize performance
Support ongoing data management efforts for Development, QA and Production environments
Utilizes a thorough understanding of available technology, tools, and existing designs
Acts as expert technical resource to programming staff in the program development, testing, and implementation process
Skillset needed: Hadoop, MapR, HIVE, Apache Spark, of application development and implementation experience

Client : Mphasis


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