Data Engineer

Overview

AU Small Finance Bank Limited

Designation: Data Engineer

Office Location: AU Bank Business Centre Jaipur

Our Data Engineers Will Typically Have

• Work in building and architecting multiple Data pipelines, end to end ETL and ELT processes for Data ingestion and transformation in AWS, and coordinating tasks amongst the team
• Build, maintain, and monitor batch and real-time ETL pipelines in an AWS architecture (Kinesis, S3, EMR, RedShift, etc.)
• Work closely with the Data Analytics teams to develop a clear understanding of data and data infrastructure needs; assist with data-related technical issues
• Develop Data strategy (source, flow of data, storage, and usage), best practices, and patterns
• Perform Data validation and quality assurance
• Present technical solutions to various stakeholders
• Provide day-to-day support of the DW and DL environments, with excellent communications across teams, monitor new deployments and services, escalating issues where appropriate.
  
  

• Data Warehousing concepts (min 3 years)
• Building ETL pipelines (min 3 years)
• Performance Tuning of SQL queries (min 3 years)
• Data modeling, architecture, and Design data systems (min 1 year)
• Documentation Skills
• Good to have – AWS, EMR, Spark, Job Scheduling Frameworks
  
  

• Reporting Designation:
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