Data Engineer - AWS
YASH Technologies (company site, opens in a new tab)3–5 yrsIndoreOn-siteDirect career pageEst. 8–14 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines on AWS using services like S3, Glue, Lambda, Redshift, and EMR.
- Build and optimize Snowflake data warehousing solutions focusing on performance tuning and data modeling.
- Integrate graph and vector databases with AI workflows and ensure data quality, pipeline reliability, and efficient code in Python and SQL.
Minimum Requirements
- 3-5 years of experience in data engineering or related roles.
- Strong hands-on experience with AWS cloud services and data/AI workloads.
- Deep understanding of Snowflake architecture, performance tuning, and best practices.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Ideal Candidate Profile
- Experienced in building scalable, optimized data pipelines on AWS, with strong Python and SQL coding skills.
- Familiar with integrating graph (Neo4j, Neptune) and vector databases (Milvus, Amazon OpenSearch) within AI and LLM applications.
- Comfortable collaborating in Agile environments using tools like Azure DevOps and Git for version control.