Job Description:

- 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 solid knowledge of data engineering and ETL processes

Key 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 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

Additional Responsibilities:

- Experience 5 to 8 Years
- Location PAN India

Preferred Skills:

Technology->Cloud Platform->AWS Data Analytics->AWS Lake Formation

📌 AWS Developer (Bengaluru)
🏢 Infosys
📍 Bengaluru