Data Engineer
Snowflake Inc. (company site, opens in a new tab)3+ yrsPuneOn-siteDirect career pageEst. 18–35 LPA
Posted 2h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain production data pipelines and models on Snowflake from ingestion through transformation and consumption.
- Develop dbt models with tests and documentation adhering to team standards and governance.
- Operate and support Apache Airflow DAGs to reliably orchestrate Snowflake workloads and monitor data quality and warehouse cost/performance.
Minimum Requirements
- Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent practical experience.
- 3+ years of hands-on experience building data pipelines or data models in a production environment.
- Strong SQL and Python skills; hands-on experience with a cloud data warehouse, ideally Snowflake.
- Working knowledge of dbt and an orchestration tool such as Apache Airflow; understanding of dimensional modelling concepts.
Ideal Candidate Profile
- Experienced in owning end-to-end production data products with a mindset to follow issues through resolution.
- Ability to work collaboratively with stakeholders and senior engineers to translate requirements into technical tasks.
- Familiar with cloud data warehouse ecosystems and modern data engineering tools, with some exposure to AI or ML data enrichment as a plus.