B.E./B.TechAWS Glue | AWS Redshift | ETL/ELT | Data EngineeringKey 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 effective 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 documentationMust-Have SkillsStrong hands-on experience with

AWS Glue

– Glue Jobs, Glue Studio,



job orchestrationStrong experience with

AWS Redshift

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

AWS data engineering solutionsStrong understanding of

ETL/ELT and data warehousingExperience with

data governance, metadata management, and data catalogingAbility to work with cross-functional teams and communicate technical concepts effectivelyAWS certifications

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

📌 AWS Data Engineer (Mumbai)
🏢 Infosys
📍 Mumbai