Role &

Responsibilities :

- Design, develop, and maintain scalable data pipelines on AWS.

- Build and manage ETL workflows using AWS Glue and related services.

- Develop data processing solutions for large-scale structured and unstructured datasets.

- Work with AWS services including S3, Lambda, Redshift, and EC2.

- Perform data integration, transformation, and validation activities.

- Optimize data pipelines for performance, reliability, and scalability.

- Collaborate with business and technical teams to deliver data-driven solutions.

- Ensure adherence to data security, governance, and cloud best practices.

- Troubleshoot and resolve issues related to cloud-based data workflows.





- Support deployment and maintenance of data engineering solutions in AWS environments.

Preferred Candidate Profile :

- 2-5 years of experience in Data Engineering.

- Strong hands-on experience with AWS Cloud services.

- Experience with AWS Glue, Lambda, S3, and Redshift.

- Good programming skills in Python.

- Robust SQL and database concepts.

- Experience in ETL development and data integration projects.

- Understanding of Cloud Architecture and Data Warehousing concepts.

- Excellent analytical and problem-solving skills.

- Good communication and collaboration abilities.

📌 Aws Engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru