Senior Data Engineer, Data & AI Engineering
Pretium Enterprise Services3–7 yrsBengaluruHybridDirect career pageEst. 10–18 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and implement data products and BI solutions primarily using Cloud Data Warehouses like Snowflake and Redshift.
- Collaborate within Agile teams to design, test, and deploy data and analytics solutions ensuring security and data privacy.
- Perform complex SQL development, performance tuning, and data migration from RDBMS and S3 to Snowflake.
Minimum Requirements
- 3-7 years of experience in Data Engineering and Data & BI solution development.
- Bachelor’s Degree in Engineering.
- Hands-on experience with Cloud Data Warehouses (Snowflake, Redshift), SQL stored procedures, and data migration to Snowflake.
- Preferably located in Bangalore; standard shift timing 12 noon to 9 pm (may vary).
Ideal Candidate Profile
- Experienced individual contributor comfortable working in Agile environments focused on cloud data warehouse technologies.
- Strong expertise in Snowflake data modeling, ELT tools (dbt SQL, Informatica, Fivetran), and SQL performance optimization.
- Familiarity with cloud platforms (AWS), scripting languages (Python, PySpark), and BI tools enhances fit for this role.