Senior Data Engineer
4 weeks ago
Experience Level: 3-8 Years
Work location: Mumbai & Bangalore
We are looking for an experienced data engineering lead who can design the data model and build the data pipelines which serve as the foundation for data based products. In this role, you will be responsible for understanding data requirements from clients and accordingly build the right design & develop the data model and data pipelines for the same.
Technologies worked on :
Programming - Python Programming
AWS based data services - Glue, S3, EMR, Lambda, RDS, Step Functions
Big data - Spark (PySpark)
Warehousing - AWS Redshift
Requirement Description :
Experienced in designing, implementation & testing of highly scalable and cost-efficient AWS based big data ETL/ELT pipeline using PySpark and SQL
Well-experienced in data warehousing
Well versed in working with transactional databases
Must have
Big data engineering technologies like Spark (PySpark)
Good knowledge of working with Python Programming
Good knowledge of advanced SQL concepts, Optimization techniques
Good knowledge of data warehousing, data modeling and concepts like OLAP and OLTP
Working knowledge with SQL databases like Postgresql, etc. is mandatory
Good knowledge of Data Migration like bringing on premise database to cloud or one cloud to another
Understand Architecture Requirements and ensure effective design, development, validation, and support activities.
Understanding of data based AWS services like Glue, EMR, Lambda, DMS, RDS, S3 etc and basic AWS architecture best practices.
Knowledge of data pipeline orchestration using Step function or Airflow
Ability to use the AWS service APIs, AWS CLI, and SDKs to build applications
Good to have
Knowledge of NoSQL databases like Dynamo can be add on
Knowledge of BI tools
Knowledge of working with streaming pipelines
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