Data Engineer - AWS
YASH Technologies (company site, opens in a new tab)3–5 yrsOn-siteDirect career pageEst. 9–16 LPA
Posted on 18 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines using AWS services including S3, Glue, Lambda, Redshift, and EMR.
- Build and optimize Snowflake data warehousing solutions, including performance tuning and data modeling.
- Integrate vector and graph databases into LLM-based AI applications and collaborate with cross-functional teams to meet data requirements.
Minimum Requirements
- 3-5 years of experience in data engineering or related roles.
- Strong hands-on experience with AWS cloud services and Snowflake architecture.
- Advanced proficiency in Python and SQL.
- Experience with graph databases (e.g., Neo4j, Neptune) and vector databases (e.g., Milvus, Amazon OpenSearch).
Ideal Candidate Profile
- Experienced in building and optimizing large-scale AWS cloud data pipelines with a focus on reliability and performance.
- Skilled in integrating advanced database technologies such as graph and vector databases within AI/ML workflows.
- Familiar with Agile development environments using Azure DevOps and version control with Git.