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
Strong experience with AWS Redshift – query optimization, workload management, performance/cost tuning
End-to-end experience delivering AWS data engineering solutions
Solid 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