AWS Developer

Infosys; Bengaluru; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Infosys in India is seeking an experienced AWS data engineer to design, develop and maintain scalable data pipelines. The role requires hands-on work with Python, SQL and PySpark, and a strong understanding of Data Lake, ETL and data governance.

You will build ETL/ELT workflows using AWS Glue, Lambda and Step Functions, manage data lakes with S3 and Lake Formation, implement IAM-based access controls, and deploy containerized apps with ECS.

Qualifications

• 5–8 years of experience in AWS data engineering.
• Hands-on with Python, SQL and PySpark.
• Experience with Data Lake, ETL and data governance concepts.

Responsibilities

• Design, develop and maintain scalable data pipelines on AWS.
• Build ETL/ELT workflows using Glue, Lambda and Step Functions.
• Monitor, troubleshoot and optimize data workflows; collaborate with cross-functional teams.

Skills

Agile methodologies

Data governance

Data analytics

Tools

AWS S3

AWS Glue

AWS Lambda

AWS Step Functions

IAM

ECS

Lake Formation

Python

SQL

PySpark

Job description

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.

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.

Experience: 5 to 8 Years Location: PAN India