Data Engineer

IN-PuneFull-time2026-10-28 → 2026-11-09

Core

Build and operate production data pipelines and models on Snowflake to power internal decision-making for the AI Data Cloud.

Role type

Mid-level production data engineer

Builds

Production data pipelines, dbt models, and Apache Airflow DAGs

Domain

Cloud data warehousing and data engineering

Deliverable

production ML models

Required skills

SQL, Python, cloud data warehouse (Snowflake), dbt, Apache Airflow, dimensional modelling

Preferred skills

Snowflake Cortex AI/LLM APIs, feature engineering, streaming ingestion (Kafka/Snowpipe Streaming), infrastructure-as-code, schema registry tooling

Responsibilities

Build and maintain production data pipelines and models; Develop dbt models with tests and documentation; Build and support Apache Airflow DAGs; Ingest data from enterprise sources; Apply data quality checks and monitor warehouse cost/performance; Act as internal customer zero for product feedback; Partner with stakeholders to scope technical tasks

About Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset, who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowf