Data Engineer Mid

D8 LooP; Pune District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Snowflake seeks AI-native thinkers to help reinvent how teams work, treating AI as a high-trust collaborator. The role focuses on building reliable data pipelines and models, applying data quality checks, and optimizing warehouse costs and performance.

Strong Python and SQL skills with dbt experience are preferred. The candidate should have 3+ years of hands-on experience in production data environments and familiarity with cloud platforms and streaming ingestion tools.

Qualifications

• 3+ years of hands-on experience building data pipelines or data models in a production environment.
• Awareness of data contracts or schema registry tooling.
• Familiarity with streaming ingestion such as Kafka or Snowpipe Streaming.
• Experience with cloud platforms (AWS, Azure, or GCP) including infrastructure-as-code not practised here.

Skills

Airflow

Data quality checks

Python

SQL

dbt

Cloud experience (AWS/GCP/Azure)

Tools

dbt

Kafka

Snowflake

Snowpipe Streaming

Job description

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 possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact.

Skills, with evidence

• Airflow / orchestration Build and support Apache Airflow DAGs that orchestrate Snowflake workloads reliably. must have
• Apply data quality checks and help monitor Snowflake warehouse cost and performance. must have
• Python Strong SQL and working Python skills, including basic query tuning and schema design. must have
• SQL Strong SQL and working Python skills, including basic query tuning and schema design. must have
• Warehousing - Apply data quality checks and help monitor Snowflake warehouse cost and performance
• dbt - Develop dbt models with tests and documentation that follow team standards and governance practices
• Cost & performance - Apply data quality checks and help monitor Snowflake warehouse cost and performance
• - 3+ years of hands‑on experience building data pipelines or data models in a production environment
• - Awareness of data contracts or schema registry tooling
• Streaming - Familiarity with streaming ingestion such as Kafka or Snowpipe Streaming
• AWS - Experience with AWS, Azure, or GCP, including infrastructure-as-code not practised here
• - Experience with AWS, Azure, or GCP, including infrastructure-as-code not practised here
• GCP - Experience with AWS, Azure, or GCP, including infrastructure-as-code not practised here
• Governance & security - Develop dbt models with tests and documentation that follow team standards and governance practices not practised here