Job Description
A day in the life of an Infoscion

- As part of the Infosys Delivery team, you will work on implementing designs, developing high quality programs and systems, partnering with our clients to ensure high quality deliverables.

- You will create technical artifacts and be the first point of contact in responding to production issues and conducting any technical analysis to arrive at solutions

- You will share your learnings from projects through knowledge management initiatives and leverage knowledge from other projects to drive high efficiency and effectiveness

- You will be a key contributor to building productive programs/systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!
If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Roles 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.

Technical Requirement

- Primary skills:Domain->Communication Equipment->Communication Equipment->UAV,Technology->Cloud Platform->AWS Enviornment Provisioning,Technology->Data On Cloud - NoSQL->Amazon Dynamo DB,Technology->Data On Cloud - Platform->AWS

Additional Responsibility
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.

- Demonstrated track record of delivering end-to-end data engineering solutions on AWS for analytics, BI, or data science use cases.

- Experience implementing data governance, metadata management, and data cataloging using AWS-native or similar tools.

- AWS-related certification (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect, or AWS Certified Developer) is a strong plus.

- Ability to work in cross-functional teams, communicate technical concepts clearly, and mentor junior engineers on AWS data best practices.

Educational Requirement
Bachelor of Engineering,Bachelor Of Technology

Preferred Skills
Technology->Cloud->AWS,Technology->Cloud->AWS Core services,Technology->Cloud Data Platforms->AWS Data Analytics,Technology->Cloud->AWS - Database Technologies->AWS

Service Line
Data Analytics Unit

📌 Aws Developer (Bengaluru)
🏢 Infosys
📍 Bengaluru