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.

Additional Responsibilities :

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.

Technical and Qualified Requirements :

- 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

Preferred Skills :

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

Educational Requirements :

Bachelor of Engineering,Bachelor Of Technology

Service Line :

Data & Analytics Unit

📌 Aws Developer (Bengaluru)
🏢 Infosys
📍 Bengaluru