Senior Data Engineer – Snowflake Developer
Zensar Technologies (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 18–28 LPA
Posted on 31 Aug
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize ETL/ELT pipelines using Snowflake, SQL, and PySpark to support analytics and reporting.
- Write and tune complex SQL queries and stored procedures; manage Snowflake environment including warehouses, schemas, roles, and access controls.
- Use AI-assisted tools to accelerate coding and debugging; mentor junior engineers and establish best practices.
Minimum Requirements
- Strong proficiency in SQL including query optimization and performance tuning.
- Solid experience with Python and PySpark for large-scale data processing.
- Experience in Snowflake development including SnowSQL, Snowpipe, Streams, Tasks, and role-based access control.
- Bachelor's degree in Computer Science, IT, Engineering, or equivalent practical experience; Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in designing and implementing Snowflake data warehouse/lake architectures.
- Able to effectively collaborate with analysts, data scientists, and engineers to translate requirements into technical solutions.
- Skilled in leveraging AI/GenAI tools to enhance productivity in development and documentation.