Bajaj FinServ Looking for Data Engineer – IT/ Senior Data Engineer – IT at Pune, Maharashtra Full Time

• Data Engineer – IT/ Senior Data Engineer – IT

Job Purpose

“This position is open with Bajaj Finance ltd.” We are looking for Data lake resource whose responsibility is to work on various projects in IT dataLake department. Responsibility of this position includes • Understand the requirements with the help of PMO team • Extracting the required information from the users • Liasing with the vendor resources for table onboarding • Data Dictionary and Release notes development • Working with vendor to get the delivery of ETL in timely manner • Unit, performance and integration testing of newly generated pipelines

Job Duties & Key Responsibilities

• Duties and Responsibilities – Job Description: This position will work on these Enterprise wide business initiatives related to Dl • Data Modelling: Addition of newly requested variables/models/tables in DL • ETL Architecture: Architect Pipelines • ETL Development: Develop ETL & Notebooks with the help of vendor • Data Dictionary & Release notes management: Manage Data Dictionaries & Release notes with the help of vendor • Support DL batches: Support DL with the help of vendor Responsibilities: • Facilitate and participate in sessions with the businessCOE teams to determine enterprise wide new data variables requirements • Variable discovery and source identification • Data Modelling of newly identified and agreed variables • Develop and Maintain Data Dictionary • Data Source Discovery for the agreed variables • Data Integration • Architect and Develop the ETL packages for the newly added variables • Manage Data Model Repository • Develop manage and maintain Data Dictionary • Test cases development • Test and QA the newly developed ETL • Manage & Monitor ETL periodically

Required Qualifications and Experience

• • Experience with Azure Data Warehouse / Azure Synapse /Azure SQL DB/ ADF • Working experience in Azure Data Factory • Working experience in Azure Data Lake , Azure data bricks • 5+ years on experience in SQL Server, SSIS (Version 2012), • Professional hand-on Data Modelling. • Good understanding of Kimball Methodology of Star/Snowflake Schema.