Responsibilities :
Design, develop, and maintain scalable data pipelines on AWS. Build ETL/ELT workflows using AWS Glue, Lambda, and Step Functions. Manage and optimize data lakes using S3 and Lake Formation. Implement secure access controls using IAM roles and policies. Deploy and manage containerized applications using ECS. Monitor, troubleshoot, and optimize data workflows for performance and reliability. Collaborate with cross-functional teams to deliver data-driven solutions.
Technical and Professional Requirements:
Strong experience with AWS services: S3, Glue, Lambda, Step Functions, IAM, ECS, and Lake Formation. Hands-on experience with Python, SQL, and PySpark. Good understanding of Data Lake, ETL, and data governance concepts. Experience working in cloud-native environments and Agile methodologies.