Please apply only if you are willing to work from Santa Monica, California
This is a Full time employment role ONLY
We are looking for a skilled Data Quality Automation Engineer to design, develop, and maintain automated data quality frameworks that ensure accuracy, consistency, and reliability of data across platforms.
The ideal candidate will have strong SQL expertise, hands-on Python experience, and experience working in modern cloud-based data ecosystems.
Role :
Key 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
Collaborate with data engineers, analysts, and business stakeholders in an Agile delivery model
Track tasks, defects, and enhancements using Jira
Create and maintain documentation for data quality rules, processes, and automation workflows
Support continuous improvement of data governance and quality standards
Required Skills & Experience
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
Strong analytical and problem-solving skills
Excellent communication and collaboration abilities
Seniority level
Not Applicable
Employment type
Full-time
Job function
Engineering
Industries
Software Development
