Aws Developer
Infosys
Bengaluru East, Karnataka, India1h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers
- Must know
- ETLTroubleshooting
- Nice to have
- AWSData analysis
- Work
- On-site in Bengaluru East
- Pay
- Not stated by the employer.
- Skill demand
- AWS86%Troubleshooting44%ETL9%Data analysis4%of 99 similar fresher jobs posted in India this week
- Listed
- 6 Nov 2026 · still open
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About the Role
Infosys is a global leader in next-generation digital services and consulting.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines on AWS to ingest, transform, and load data from diverse sources.
- Build and optimize data workflows using AWS Glue, ensuring reliability, reusability, and performance of jobs and crawlers.
- Design, implement, and manage data warehousing solutions on AWS Redshift, including schema design, partitioning, and performance tuning.
- Implement data quality checks, validation rules, and monitoring to ensure accuracy, completeness, and consistency of data assets.
- Collaborate with analytics and business teams to understand reporting and BI requirements and translate them into efficient data models and datasets.
- Apply best practices for security, compliance, and governance across AWS data services, including access control and encryption standards.
- Troubleshoot and resolve data pipeline issues, optimize job performance, and proactively improve system reliability and scalability.
- Contribute to documentation, standards, and reusable frameworks for data engineering on AWS to support team-wide efficiency and consistency.
Requirements & Tech Stack
- Deep hands-on experience with AWS Glue, including job orchestration, Glue Studio/Jobs, and integration with other AWS data services.
- Strong experience with AWS Redshift, including cluster management, query optimization, workload management, and cost/performance tuning.
- Experience implementing data governance, metadata management, and data cataloging using AWS-native or similar tools.
- Ability to communicate technical concepts clearly.
- Ability to mentor junior engineers on AWS data best practices.
Qualifications
- Demonstrated track record of delivering end-to-end data engineering solutions on AWS for analytics, BI, or data science use cases.
- Ability to work in cross-functional teams.
- AWS-related certification (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect, or AWS Certified Developer) is a strong plus.