3 - 8 Yrs exp - Python AWS Data Engineer

Design, develop, and maintain ETL pipelines using Python, Spark, and AWS services. Build, test, debug, and document Python and Spark applications. Work with AWS services including S3, ECS, Lambda, Glue, DynamoDB, SQS, SNS, IAM, and Athena. Write and optimize SQL queries, joins, and stored procedures for relational databases. Implement unit tests and validation using Pytest or Unittest frameworks. Collaborate with DevOps teams to maintain CI/CD pipelines using Git, Jenkins/Bamboo. Ensure scalability, performance, and reliability of data pipelines. Participate in Agile ceremonies and contribute to sprint planning, code reviews, and retrospectives. Document solutions, data flows, and ETL transformations for knowledge sharing and compliance.

We are seeking a hands-on Python AWS Data Engineer to design, develop, and maintain robust ETL pipelines and cloud-based data solutions. The ideal candidate will have strong expertise in Python, Spark, SQL, and AWS services, with experience in building scalable data pipelines, implementing data transformations, and ensuring high-quality, maintainable code.You will collaborate closely with data architects, analysts, and business stakeholders to enable data-driven decision-making while working in an Agile environment.