Group Company: 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.
Who we prefer
- 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
Additional Responsibilities
Reporting Team
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Work Environment Details
Specific requirements
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