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Snowflake

Runs a cloud platform for business data and AI

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.
  • At least 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.
  • An ownership mindset, following problems through to resolution and asking for help when needed.

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.

Desired Qualifications

  • Exposure to Snowflake Cortex AI functions or other LLM APIs for data enrichment.
  • Experience preparing data for machine learning 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.

About the Company

Snowflake

Runs a cloud platform for business data and AI

Snowflake runs a cloud platform where businesses store and analyze data, build AI tools, and share information under common access controls. Its platform separates stored data from computing resources, letting teams run different workloads without maintaining database servers. Analysts query business records with SQL, while developers use Python and other languages to build applications and train models against the same data; Cortex connects AI models to company records so teams build assistants and automate analysis. Customers pay for storage and computing usage across Amazon, Microsoft, and Google infrastructure. Snowflake was founded in 2012 and has its headquarters in Menlo Park, California.

Company size
10,001+
Company stage
IPO
Headquarters
Menlo Park, CA
Founded
2012

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