AWS Cloud Developer

Infosys; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Infosys is seeking an AWS Developer to design, develop, and maintain scalable data pipelines on AWS. You will build ETL/ELT workflows using Glue, Lambda, and Step Functions, while managing data lakes with S3 and Lake Formation. The role requires hands-on Python, SQL, and PySpark, plus strong data governance knowledge.

With 5–8 years of experience, you will work in a cloud-native, Agile environment across PAN India, collaborating with cross-functional teams to deliver data-driven solutions.

Qualifications

• 5 to 8 years of experience in AWS data engineering.
• Strong experience with S3, Glue, Lambda, Step Functions, IAM, ECS, Lake Formation.
• Hands-on with Python, SQL, PySpark.
• Knowledge of Data Lake, ETL/ELT, and data governance.
• Experience 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, Step Functions.
• Manage and optimize data lakes using S3 and Lake Formation.
• Implement secure access controls with 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.

Skills

AWS services

Python

SQL

PySpark

Data governance

ETL/ELT

Data Lake

Agile

Cloud-native

Tools

AWS Glue

AWS Lambda

AWS Step Functions

Amazon S3

Lake Formation

Amazon ECS

IAM

Job description

AWS Developer

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. Experience: 5 to 8 Years Location: PAN India 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.