AWS Developer

We are looking for an experienced AWS Data Engineer with 5 to 8 years of experience in building and managing cloud-based data platforms. The ideal candidate should have hands-on expertise in AWS S3, Glue, Lambda, Step Functions, IAM, ECS, and Lake Formation, along with strong knowledge of data engineering and ETL processes. Technical 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. 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. Preferred Skills: Technology->Cloud Platform->AWS Data Analytics->AWS Lake Formation