We are seeking an experienced Senior AWS Data Engineer / Data Architect experience with strong expertise in designing, building, and managing modern data lake and lakehouse architectures on AWS. The ideal candidate should have hands-on experience with AWS data services, particularly AWS Lake Formation and AWS Glue, along with a solid understanding of scalable data ingestion, governance, and up-to-date data platform capabilities. The candidate will play a key role in designing, implementing, and optimizing enterprise data platforms.
Responsibilities
- Design, build, and enhance enterprise-scale data lake and lakehouse architectures on AWS.
- Develop and maintain scalable data ingestion pipelines using AWS-native services.
- Implement and manage AWS Lake Formation for secure data governance and fine-grained access control.
- Build and optimize ETL workflows using AWS Glue.
- Design efficient data storage solutions leveraging Amazon S3 and emerging capabilities such as S3 Tables.
- Collaborate with Data Strategy, Analytics, and Business teams to define technical solutions.
- Implement metadata management, cataloging, and data quality best practices.
- Optimize performance, scalability, and cost of AWS data platforms.
- Support architecture reviews and recommend improvements based on AWS best practices.
- Stay current with emerging AWS analytics and data platform features.
📌 Data Architect( AWS) (Bengaluru)
🏢 WinWire
📍 Bengaluru
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