nB.E./B.Tech

nAWS Glue | AWS Redshift | ETL/ELT | Data Engineering

nKey Responsibilities

n• Design, develop, and maintain scalable ETL/ELT data pipelines on AWS

n• Build and optimize data workflows using AWS Glue

n• Design and manage data warehousing solutions using AWS Redshift

n• Implement data quality, validation, monitoring, and governance practices

n• Develop productive data models and datasets for analytics and BI requirements

n• Troubleshoot pipeline issues and optimize performance, reliability, and scalability

n• Follow AWS security, compliance, access control, and encryption best practices

n• Contribute to reusable frameworks, standards, and documentation

nMust-Have Skills

nStrong hands-on experience with AWS Glue – Glue Jobs, Glue Studio,



job orchestration

nStrong experience with AWS Redshift – query optimization, workload management, performance/cost tuning

nEnd-to-end experience delivering AWS data engineering solutions

nStrong understanding of ETL/ELT and data warehousing

nExperience with data governance, metadata management, and data cataloging

nAbility to work with cross-functional teams and communicate technical concepts effectively

nAWS certifications such as AWS Certified Data Analytics, Solutions Architect, or Developer will be an added advantage.

📌 AWS Data Engineer (Bengaluru Urban)
🏢 Infosys
📍 Bengaluru Urban