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• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 31st Jul 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

Required Skills:

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

Knowledge of various components of 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 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 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 communicate well with stakeholders on his/her proposal/recommendations Knowledge, status/risks regarding delivering solution on time Strong experience with Data Analysis, Data Profiling, Root Cause Analysis Should able to understand Banking system/processes and data flow Can work independently, lead and mentor the team