Discipline : Business Operations
Industry : Business Analysis
Job Description :
- Lead a team of Big Data developers working on Data Engineering assignments using Big Data tools like Hive, Spark, Sqoop, etc.
- Create APIs to convert Unstructured data to structured format
- ETL Design & Development
- Responsible for the management of the data warehouse on MapR Big Data platform.
- Responsible for the planning, creation and implementation of a continuing program of analytical software developments, including, but not limited to, the data warehouse
- Act as a Liaison to a team of data scientists, understand their analytical requirements pertaining to data, document & design data mart solutions using Big Data tools like Hive, Sqoop, Spark, Java, etc .
- Explain the requirements to Big Data developers team & lead the solution delivery
- Innovate/Examine the current Data Warehousing practices & suggest adoption of new tools in Big Data/Hadoop ecosystem to improve the speed of Data Ingestion & Consumption process by downstream teams
- Configuration Management - Adopt best practices to maintain the code in Code repository
No. of Openings : 1
Qualification/Required Skill set :
Experience : 5 to 7 years experience in Data Warehousing, ETL, Big Data, Hadoop and Java
Must Have Skills : Hive, Sqoop, Unix, Java, Spark, NoSQL, Streaming, Data Warehousing, RDBMS
Education Qualifications : Engineering or equivalent degree
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