Data Quality Developer

As a Data Quality Developer joining the Enterprise Data Governance team, your role will involve implementing data quality rules using the SuperZoom platform. Your SQL expertise and understanding of data quality challenges will be crucial as you work with PostgreSQL, MS SQL Server, and Snowflake. - 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. - Collaborate with data governance team members, data quality team members, and business stakeholders to meet requirements. - Ensure timely delivery of data quality rules aligned with business needs. - Validate the accuracy and effectiveness of implemented rules. - Adhere to best practices in agile development environments for efficient solution delivery. For this role, you should have: - 5+ years of SQL experience, including proficiency in writing complex queries and data analysis. - A strong understanding of data quality issues and challenges. - Hands-on experience with PostgreSQL, MS SQL Server, and Snowflake. - Excellent problem-solving skills and attention to detail. - Clear and concise communication skills for effective stakeholder collaboration. - Flexibility to work partially on US hours. - Background in working within an agile environment. Desired skills that would be beneficial for this role include: - Familiarity with Tableau and/or Power BI for reporting and data visualization. - Proficiency in Python for data-related tasks. - Knowledge of Apache Airflow for orchestration. Your success in this role will be measured by: - Timely delivery of data quality rules based on business requirements. - Accuracy and effectiveness of implemented rules in enhancing data integrity.,