Description

You will own the integrity and accuracy of data across the platform.

Responsibilities

• Design, develop, and maintain automated data quality and validation frameworks for data pipelines.
• Collaborate with data engineering teams to analyze ETL processes and pinpoint data quality issues.
• Perform data profiling, cleansing, and validation using Alteryx and custom Python scripts.
• Build and optimize data quality checks and tests within Snowflake environments.
• Monitor data quality metrics and generate reports detailing data issues and trends.

Required Skills

• 10+ years of experience in data quality engineering.
• Expertise in ETL Processes.
• Proficiency with Snowflake data warehousing.
• Experience with Alteryx Workflows.
• Strong scripting capability in Python.
• Ability to define and enforce data quality rules and standards with stakeholders.

Key Skills

Education

Any Graduate