Senior Data Quality Engineer



The Role



You will contribute as a key member of our fast-paced team in the testing of data capabilities that support applications across the enterprise. These applications & technologies may include but are not limited to: PowerBI, Tableau, and other BI tools, our external corporate website, intranet site, proprietary employee management and other HR systems, and data feeds that may flow between these and other systems.



Expect to use your knowledge of development and testability to effect better design, promote accurate engineering decisions, and implement bug prevention strategies which are both scalable and maintainable across this set of key responsibilities:



Collaborate with cross-functional teams to ensure quality and timely delivery of products.



Develop and execute manual and automated test cases for software applications to ensure the reliability of data pipelines, ETL processes, and data transformations.



End to end integration testing between multiple independent systems and interfaces (flat files, APIs (ETL), etc.



Utilize AWS services, Snowflake data warehouse, and ODS to test data integration and migration processes



Conduct functional, integration, regression, and performance testing of database systems using industry standard technologies (SQL, Python, iCEDQ, etc.)



Create and maintain documentation of test plans, test cases and testing results.



The Expertise and Skills You Bring



Engage with product owners and development leads to create testing strategies



Identify areas of improvement in data quality processes and propose solutions to enhance data accuracy and reliability.



Collaborate with data engineering and development teams to implement data quality best practices and optimize data workflows.



Document data quality issues, testing procedures, and resolutions for future reference and knowledge sharing.



Experience with data processing concepts like mapping documents and complex data relationships.



Experience with requirement analysis, defect tracking, coordinating with team members in different locations, and test reporting and signoff.



Strong analytical and technical skills to address sophisticated issues.



Ability to perform root cause analysis on defects.



Assist in developing and maintaining data governance policies and standards.



Design, monitor and maintain QA reports, KPIs & quality trends for the internal data systems



Detailed and organized approach to solving problems.



Communication skills that prioritize collaboration over conflict.



Previous experience with Agile methodology