Senior data engineer
1 month 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 (Py Spark)
Warehousing - AWS Redshift
Requirement Description:
- Experienced in designing, implementation & testing of highly scalable and cost-efficient AWS based big data ETL/ELT pipeline using Py Spark and SQL
- Well-experienced in data warehousing
- Well versed in working with transactional databases
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Must have
- Big data engineering technologies like Spark (Py Spark)
- 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 No SQL databases like Dynamo can be add on
- Knowledge of BI tools
- Knowledge of working with streaming pipelines
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