Description

You will build and maintain data solutions within the Enterprise Data Insights team.

This role is hybrid.

Responsibilities

• Analyze, design, and implement data solutions, including constructing data models and ETL processes.
• Manage data pipelines for both analytics and operational purposes.
• Collaborate with stakeholders across Product, Finance, and GTM to prioritize data requirements.
• Ensure data quality and integrity across disparate data sources and systems.
• Continuously enhance processes to meet SLA and SOX compliance requirements.

Required Skills

• 6+ years of experience in Data Engineering, building and maintaining data environments.
• 5+ years experience designing and constructing ETL/ELT processes in an SLA-driven environment.
• Advanced proficiency in Python and SQL/NoSQL databases (Snowflake, Redshift, MongoDB).
• Experience building ELT/ETL processes using tools like dbt, AirFlow, or FiveTran.
• Familiarity with CI/CD practices using GitHub.
• Knowledge of AWS and GCP cloud services.
• Experience with columnar OLAP databases and data modeling principles.

Key Skills

Education

Any Graduate