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• No of position :- ( 1 )

• Post :- 28th Aug 2021

          The ETL Hadoop data engineer will be responsible for analyzing the business requirements design develop and implement highly efficient highly scalable ETL processes

·          Candidate is required to perform daily project functions with a focus on meeting the business objectives on time in rapidly changing work environment and should be able to lead and drive globally located team to achieve business objectives.

·          8+ years of hands-on experience working with ETL Hadoop.

·          Knowledge of various components of the Hadoop ecosystem and experience in applying them to practical problems.

·          Hive Impala Spark Strong knowledge of working with relational databases like Teradata DB2 Oracle Sql server.

·          Hands-on experience in writing shell scripts on the Unix platform.

·          Experience in data warehousing ETL tools MPP database systems.

·          Understanding of Data Models Conceptual Logical and Physical Dimensional Relational Data Model Design.

·          Analyze functional specifications and assist in designing potential technical solutions. Identifies data sources and works with the source system team and data analyst to define data extraction methodologies.

·          Good knowledge in writing complex queries in Teradata DB2 Oracle PL SQL.

·          Maintain batch processing jobs and respond to critical production issues and communicate well with stakeholders on his or her proposal recommendations.

·          Knowledge status risks regarding delivering solutions on time.

·          Strong experience with Data Analysis Data Profiling Root Cause Analysis.

·          Should be able to understand Banking system processes and data flow.

·          Can work independently, lead and mentor the team.