Description

You will build and manage the core data infrastructure, designing integration frameworks and automated processes for large datasets.

This role is on-site.

Responsibilities

• Design and develop data integration frameworks to consolidate big data sources.
• Architect automated processes and algorithms to cleanse and evaluate large datasets.
• Partner with product and engineering teams to define data product instrumentation best practices.
• Extract and communicate meaningful insights to business managers.
• Cross-functionally collaborate to solve complex data analysis challenges.

Required Skills

• 5+ years experience in data engineering, architecture, or governance managing data pipelines.
• Expert proficiency in Python and SQL for developing data solutions.
• Deep understanding of ETL tools, data lakes, and columnar formats.
• Experience with Data Pipeline development.
• Proficiency in Data Analytics principles.
• Strong critical thinking skills with the ability to work autonomously.

Preferred Skills

• Experience with product-led growth (PLG) strategies and application instrumentation.
• Proficiency in programming languages beyond Python and SQL.

Key Skills

Education

Any Graduate