# Data Engineer

**Company**: Snowflake
**Location**: Pune, India
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/snowflake/1af751fb-d53e-43b0-a3bc-6fcc4004cafb?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f410cf73-23e

## Description

At Snowflake, we are powering the era of the agentic enterprise.

We seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work.

As a Data Engineer at Snowflake, you will help build and operate the data pipelines and models that power internal decision-making on the Snowflake AI Data Cloud.

**Responsibilities**

- Build and maintain production data pipelines and models on Snowflake, from ingestion through transformation and consumption

- Develop dbt models with tests and documentation that follow team standards and governance practices

- Build and support Apache Airflow DAGs that orchestrate Snowflake workloads reliably

- Ingest data from enterprise sources using Snowpipe, Snowpark, and dynamic tables

- Apply data quality checks and help monitor Snowflake warehouse cost and performance

- Act as an internal customer zero, sharing feedback on Snowflake features with Product teams

- Take part in Agile ceremonies including stand ups, sprint planning, reviews, and retrospectives

- Partner with stakeholders and senior engineers to turn well-defined requirements into scoped technical tasks

**Requirements**

- Bachelor's degree in Computer Science, Information Systems, or a 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 working Python skills, including basic query tuning and schema design

- 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

- Clear written and verbal communication and a collaborative, curious approach to learning

- Ownership mindset: you follow problems through to resolution and ask for help when needed

**Nice to Have**

- Exposure to Snowflake Cortex AI functions or other LLM APIs for data enrichment

- Experience preparing data for ML model training or feature engineering

- Familiarity with streaming ingestion such as Kafka or Snowpipe Streaming

- Experience with AWS, Azure, or GCP, including infrastructure-as-code

- Awareness of data contracts or schema registry tooling

## Skills

### Required
- SQL
- Python
- dbt
- Apache Airflow
- Snowflake
- dimensional modelling

### Nice to have
- Snowflake Cortex AI functions
- LLM APIs
- Kafka
- Snowpipe Streaming
- AWS
- Azure
- GCP
- data contracts
- schema registry tooling

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/snowflake/1af751fb-d53e-43b0-a3bc-6fcc4004cafb?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)