Senior AWS Engineer
Fractal (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 20–40 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, implement, test, and optimize scalable data ingestion and transformation pipelines using AWS-native services like Glue, Lambda, S3, EventBridge, and Redshift Serverless.
- Develop and maintain data models in Amazon Redshift to enable reliable reporting, analytics, and NLP-driven insights with focus on performance tuning and data consistency.
- Ensure data governance and quality by managing AWS Glue Data Catalog and Lake Formation, while monitoring data pipelines and supporting operational excellence through CloudWatch and documentation.
Minimum Requirements
- Hands-on experience with AWS data engineering services including AWS Glue, Lambda, S3, EventBridge, Amazon Redshift Serverless, and AWS Lake Formation.
- Strong expertise in data modeling and distributed data processing patterns.
- Work Experience Required: Not explicitly mentioned in the JD
- Not explicitly mentioned in the JD for educational qualifications or notice period requirements.
Ideal Candidate Profile
- Experienced in building and maintaining complex AWS data pipelines for analytics and AI/NLP applications in production environments.
- Ability to collaborate with architects, senior engineers, DevOps, and business teams to deliver query-ready and governed data assets.
- Detail-oriented with a focus on operational stability, performance optimization, data governance, and incident resolution in cloud data platforms.