Description

You will design and maintain automated data quality systems for Snowflake and Databricks environments.

This role is on-site.

Responsibilities

• Design, develop, and maintain automated data quality checks and validation frameworks.
• Write complex and optimized SQL queries to analyze, validate, and troubleshoot data issues.
• Develop and enhance Python-based automation scripts for data quality monitoring and reporting.
• Perform data validation across Snowflake and Databricks environments.
• Identify data anomalies, root causes, and proactively recommend improvements.

Required Skills

• 12+ years of professional experience in a relevant data role.
• Strong expertise in Advanced SQL (complex joins, window functions, performance tuning).
• Hands-on experience with Python for data processing and automation.
• Experience working with Snowflake and Databricks.
• Good understanding of data quality concepts (completeness, accuracy, consistency, timeliness, validity).
• Experience working in Agile/Scrum environments.
• Familiarity with Jira for sprint planning and issue tracking.

Preferred Skills

• Experience with PySpark.

Key Skills

Education

Any Gradute