AWS Developer

Infosys; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Infosys in Bengaluru (PAN India) is seeking a data engineer with strong AWS data engineering experience. The role focuses on designing and maintaining scalable data pipelines on AWS, leveraging Glue, Lambda, Step Functions, and Lake Formation. The candidate should be proficient in Python, SQL, and PySpark, with a solid grasp of Data Lake concepts and data governance.

Agile experience is a plus. The position involves building ETL/ELT workflows, managing data lakes, implementing secure IAM

Qualifications

• 5–8 years of experience in data engineering or related field.
• Strong hands-on experience with AWS cloud services for data pipelines.
• Proficiency in Python, SQL and PySpark.
• Solid understanding of Data Lake, ETL/ELT workflows and data governance.
• Experience working 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, 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.

Skills

AWS S3

AWS Glue

AWS Lambda

Step Functions

IAM

ECS

Lake Formation

Python

SQL

PySpark

Data Lake

ETL/ELT

Data governance

Agile methodologies

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