Sr. Data Engineer
Avantor, Inc. (company site, opens in a new tab)10–12 yrsPuneOn-siteDirect career pageEst. 22–32 LPA
Posted 14d ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end data pipeline lifecycle including ingestion (Fivetran), transformation (dbt), storage/modeling (Snowflake), and consumption (Power BI) to enable data-driven business decisions.
- Lead data engineering initiatives, mentor junior engineers, and provide technical leadership for engineering standards and best practices.
- Explore and pilot Generative AI use cases to improve data engineering workflows such as AI-assisted documentation and natural-language querying.
Minimum Requirements
- 10-12 years overall IT experience with 6+ years in data engineering and cloud data platforms.
- 6+ years experience in data warehousing specifically within Snowflake including architecture and data modeling.
- 4+ years hands-on experience with dbt and 3+ years with Fivetran and Power BI for data ingestion and BI reporting.
- Bachelor's degree in Engineering (Computer Science or equivalent).
Ideal Candidate Profile
- Deep expertise in Snowflake architecture, dbt project design, Fivetran pipeline configuration, and dimensional data modeling for scalable analytics.
- Experience working independently and collaborating cross-functionally with business stakeholders to translate requirements into robust data solutions.
- Practical interest and some exposure to applying Generative AI/LLM technologies to data engineering workflows is a plus.