6–10 yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and deliver scalable Snowflake data models and data pipelines using modern ETL/ELT frameworks.
- Optimize Snowflake performance including clustering, partitioning, and query tuning for improved efficiency.
- Collaborate with architects, analysts, and business teams to translate data requirements into technical solutions and ensure data quality and governance.
Minimum Requirements
- 6 to 10 years of experience in data engineering with at least 3 years using Snowflake.
- Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
- Strong proficiency in SQL and Python; hands-on experience with Snowflake modeling, query tuning, and database tuning.
- Experience with cloud platforms (AWS preferred) and knowledge of version control, DevOps, and Agile methodologies.
Ideal Candidate Profile
- Experienced in end-to-end Snowflake data warehouse development including integration and maintenance of pipelines.
- Skilled in performance optimization and dimensional modeling in data warehousing environments.
- Capable of working with cross-functional teams to implement CI/CD workflows and infrastructure-as-code practices.