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
Robust experience with AWS services: S3, Glue, Lambda, Step Functions, IAM, ECS, and Lake Formation.
Hands-on experience with Python, SQL, and PySpark.
Valuable 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

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