Job Description
The person would be a part of the Corporate Data Engineering team focusing on the development of Corporate Datamarts / Datalake and building pipelines to provide data for various Analytical Reports and Dashboard.
Responsibilities:
• Development/ Maintenance of Datamart, datawarehouse or Datalake which will help Business to drive the Business effectively.
• Development of Data pipeline for automation of complex reports.
• Perform unit and integration testing
• Build database tables, views and stored procedures
• Customizing and managing integration tools, databases, warehouses, and analytical systems.
• Proactively working with Reporting Analysts to attain common reporting goals.
• Write Unix scripts as needed
• Provide production batch support in case of batch failures
Requirements:
• Hands-on experience with SQL, PL-SQL, Big Data technologies like Spark with Scala, Hadoop & Hive etc.
• Must have good understanding of DW and ETL concepts
• Basic understanding of UNIX commands and Shell scripting is required.
• Good to have experience on cloud platforms like AWS, Azure etc.
• Good to have experience on ETL Tools like Informatica & IICS
• Strong data handling, interpretive and problem-solving skills with the ability to process large volumes of transaction-level data and efficiently derive actionable results.
• Having a results-oriented' attitude with go get it done' skill
• Good management skills while working with both internal and external partner
Responsibilities:
• Development/ Maintenance of Datamart, datawarehouse or Datalake which will help Business to drive the Business effectively.
• Development of Data pipeline for automation of complex reports.
• Perform unit and integration testing
• Build database tables, views and stored procedures
• Customizing and managing integration tools, databases, warehouses, and analytical systems.
• Proactively working with Reporting Analysts to attain common reporting goals.
• Write Unix scripts as needed
• Provide production batch support in case of batch failures
Requirements:
• Hands-on experience with SQL, PL-SQL, Big Data technologies like Spark with Scala, Hadoop & Hive etc.
• Must have good understanding of DW and ETL concepts
• Basic understanding of UNIX commands and Shell scripting is required.
• Good to have experience on cloud platforms like AWS, Azure etc.
• Good to have experience on ETL Tools like Informatica & IICS
• Strong data handling, interpretive and problem-solving skills with the ability to process large volumes of transaction-level data and efficiently derive actionable results.
• Having a results-oriented' attitude with go get it done' skill
• Good management skills while working with both internal and external partner
💡 Quick Summary
Seeking a career-building opportunity? The Manager | Data Engineer position is now open for candidates interested in the Bank Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.