Description

You will build and maintain the data infrastructure required for high-impact analytics and business operations.

This role is hybrid.

Responsibilities

• Design and implement scalable data models and schemas.
• Develop and maintain production-grade data pipelines and ETL workflows.
• Collaborate with product and analytics teams to support data-driven features.
• Ensure data quality, performance, and operational reliability across the stack.

Required Skills

• 5+ years of experience in data engineering.
• Advanced SQL skills with expertise in data modeling and schema design.
• Strong Python coding ability for scripting and transformations.
• Hands-on experience with ETL tools or frameworks such as Airflow or DBT.
• Experience with SnapLogic or similar modern ETL platforms.
• Any Graduate degree.
• Strong documentation and communication skills.

Preferred Skills

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

Key Skills

Education

Any Graduate