Description

You will own core data engineering tasks, building the infrastructure that supports analytics.

This role is hybrid.

Responsibilities

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

Required Skills

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

Preferred Skills

• Experience with Snowflake.
• Familiarity with Snaplogic or similar modern ETL platforms.

Key Skills

Education

Any Graduate