Educational Requirements

Bachelor of Engineering, BSc, BTech, Masters of Computing, MBA

Service Line

Data Analytics Unit

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.

Additional Responsibilities
- Experience: 5 to 8 Years
- Location: PAN India

Technical and Qualified 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.

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

📌 AWS Developer (Bengaluru)
🏢 Infosys
📍 Bengaluru