Pune · On-site
Data Engineer
- Salary
- Not disclosed
- Experience
- 3–6 years
- Eligible batches
- 2020 – 2023
- Degree
- Bachelor's
- Location
- PuneOn-site
About the role
Snowflake is seeking a Data Engineer to design, build, and maintain production‑grade data pipelines and models that fuel internal decision‑making on the Snowflake AI Data Cloud. The role involves working with Snowflake, dbt, and Airflow while collaborating with senior engineers and stakeholders.
Responsibilities
- Develop and sustain end‑to‑end data pipelines on Snowflake, handling ingestion, transformation, and consumption.
- Create, test, and document dbt models following team standards and governance.
- Build and manage Apache Airflow DAGs to orchestrate Snowflake workloads reliably.
- Ingest data using Snowpipe, Snowpark, and dynamic tables, applying quality checks and monitoring cost/performance.
- Participate in Agile ceremonies and translate clear requirements into technical tasks.
- Act as an internal “customer zero,” providing feedback on Snowflake features to product teams.
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Eligibility
- Bachelor's degree in Computer Science, Information Systems, or a related discipline, or equivalent practical experience.
- At least three years of hands‑on experience building production data pipelines or models.
- Strong SQL proficiency and solid Python skills, including basic query tuning.
Skills
- SQL
- Python
- dbt
- Apache Airflow
- Snowflake platform (including Snowpipe and Snowpark)
- Dimensional modeling and data quality practices
Resume keywords
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Asked for
- SQL
- Python
- Dbt
- Apache airflow
- Snowflake
- Snowpipe
- Snowpark
- Dimensional modeling
- Data pipelines
- Data modeling
Nice to have
- Snowflake cortex
- LLM
- Kafka
- AWS
- Azure
Benefits
- Opportunity to work with cutting‑edge AI‑native data technologies.
- Collaborative, fast‑moving environment that encourages experimentation.
- Exposure to Snowflake’s internal product roadmap as a “customer zero.”
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About Snowflake
Snowflake powers the era of the agentic enterprise with the world’s only true Data Cloud.
Founded 2012 · 1001-5000 employees · HQ San Mateo, USA
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