B.E./B.Tech AWS Glue | AWS Redshift | ETL/ELT | Data Engineering Key Responsibilities • Design, develop, and maintain scalable

ETL/ELT data pipelines on AWS • Build and optimize data workflows using

AWS Glue • Design and manage data warehousing solutions using

AWS Redshift

- Implement data quality, validation, monitoring, and governance practices
- Develop efficient data models and datasets for analytics and BI requirements
- Troubleshoot pipeline issues and optimize performance, reliability, and scalability
- Follow AWS security, compliance, access control, and encryption best practices
- Contribute to reusable frameworks, standards, and documentation Must-Have Skills Strong hands-on experience with

AWS Glue

– Glue Jobs, Glue Studio,



job orchestration Solid experience with

AWS Redshift

– query optimization, workload management, performance/cost tuning End-to-end experience delivering

AWS data engineering solutions Strong understanding of

ETL/ELT and data warehousing Experience with data governance, metadata management, and data cataloging Ability to work with cross-functional teams and communicate technical concepts effectively AWS certifications such as AWS Certified Data Analytics, Solutions Architect, or Developer will be an added advantage.

📌 AWS Data Engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru