Description

You will drive the quality strategy for Snowflake-based data platforms and large-scale ETL/ELT pipelines as a senior individual contributor.

Responsibilities

• Define and drive the data quality strategy for data platforms.
• Build automated data validation frameworks.
• Implement shift-left testing practices.
• Ensure data accuracy, performance, and observability across pipelines.
• Enforce best practices and mentor QE members in collaboration with data engineers and architects.

Required Skills

• 15+ years of experience in Data Engineering or Quality Engineering.
• Deep expertise in Data Warehousing and ETL/ELT processes.
• Strong proficiency in SQL for profiling and validation.
• Hands-on experience with Python for automation tasks.
• Expertise with Snowflake and SQL Server environments.
• Solid understanding of Agile methodologies and QE processes.
• Experience with CI/CD pipelines, specifically Azure DevOps and GitLab.
• Familiarity with data quality tools like Soda and Coalesce.
• Proficiency in Data Pipeline development and maintenance.

Key Skills

Education

Any Gradute