Data Quality Assurance Lead
3 weeks ago
Job Summary:
Insight Global is seeking a highly skilled Data Quality Assurance Lead to join our team. The ideal candidate will have a strong background in data quality and assurance, with experience in leading data quality initiatives and collaborating with cross-functional teams.
Key Responsibilities:
Engage with business stakeholders and data engineering teams to determine data requirements and business cases
Develop and implement comprehensive QA strategies and plans for data engineering and BI products
Design, develop, and execute test plans, including functional, integration, regression, and performance testing, to ensure the accuracy, completeness, and reliability of data products
Be the key point of contact for relevant Core and/or functional data domains data quality
Contribute to initial set of harmonized data requirements across the workflow contributing to efficiency and quality enhancements
Responsible for data definitions, critical to quality, across relevant stakeholders
Design and monitor key performance indicators related to key data processes and data quality for the clients Data Platform.
Requirements:
11+ years of experience as a QA/Tester
6+ years of most recent QA experience focused on data-centric projects
Minimum of 2 years of experience working in a lead role
Proficiency in SQL and data querying for test validation and analysis
Strong knowledge of data management, ETL processes, data warehousing, and BI tools
Experienced in data quality testing for data engineering pipelines and working with data engineering teams
Strong understanding of Agile methodologies, with working experience in Scrum or SAFe Agile frameworks
Established track record of working with Technology (including experience with APIs) and agile methodology
Demonstratable experience handling large amount of data, bringing order and rigor to unstructured data environments and enhancing accuracy
Experienced in multi-functions and multi-years implementation or transformation initiatives
Bachelors degree in Computer Science, Information Systems, or a related field
Certification in Quality Assurance, Data Engineering, or related fields
Familiarity with cloud platforms (e.g., Azure) and their data-related services
Experience with QA automation tools and frameworks
Preferred - test the data and pipelines on Azure Databricks
About Us:
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.
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