Data Quality Developer

Job Summary

We are seeking a Data Quality Developer to join our Enterprise Data Governance team. This role will be responsible for implementing data quality rules as part of our SuperZoom data quality platform. The ideal candidate will have strong SQL expertise, an understanding of data quality challenges, and experience working with PostgreSQL, MS SQL Server, and Snowflake.

Key Responsibilities

• Translate business data quality requirements into technical implementations within the SuperZoom platform.
• Develop and implement SQL-based data quality rules to monitor and improve data integrity.
• Work closely with data governance team members, data quality team members, and business stakeholders to ensure requirements are met.
• Ensure on-time delivery of data quality rules based on business needs.
• Validate the accuracy and effectiveness of implemented rules.
• Follow best practices in agile development environments to deliver solutions efficiently.
  
  

Required Skills & Experience

• 5+ years of SQL experience, including writing complex queries and data analysis.
• Strong understanding of data quality issues and challenges.
• Experience working with PostgreSQL, MS SQL Server, and Snowflake.
• Excellent problem-solving skills and attention to detail.
• Clear and concise communication skills to work effectively with stakeholders.
• Ability to work partially on US hours as needed.
• Experience working in an agile environment.
  
  

Nice-to-Have Skills

• Experience with Tableau and/or Power BI for reporting and data visualization.
• Proficiency in Python for data-related tasks.
• Familiarity with Apache Airflow for orchestration.
  
  

Success Metrics

• Timely delivery of data quality rules based on business requirements.
• Accuracy and effectiveness of implemented rules in improving data integrity.