Description

You will design, build, and maintain production-grade data pipelines and scalable data models.

This role is hybrid.

Responsibilities

• Design and implement scalable data models and schemas.
• Develop and maintain reliable data pipelines using modern ETL frameworks.
• Collaborate with product and analytics teams to support data-driven features.
• Ensure data quality and operational reliability across the data stack.

Required Skills

• 5+ years of experience in Data Engineering.
• Advanced SQL skills for data modeling and schema design.
• Strong Python coding ability for scripting and transformations.
• Experience with ETL tools such as Airflow, DBT, or Snaplogic.
• Excellent problem-solving skills and ability to work independently.
• Comfortable working in collaborative environments.

Preferred Skills

• Experience with Snowflake.
• Familiarity with CI/CD and data ops practices.

Key Skills

Education

Any Graduate