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.
- Valuable programming skills in Python.
- Strong 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 (Hyderabad)
🏢 Infosys
📍 Hyderabad