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Data Quality Assurance Lead

2 months ago


Charlotte, North Carolina, United States Insight Global Full time
Data Quality Assurance Lead

Insight Global is seeking a highly skilled Data Quality Assurance Lead to join their team in Charlotte, NC. As a key member of the data engineering team, you will be responsible for ensuring the accuracy, completeness, and reliability of data products.

Key Responsibilities:
  • 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.
  • 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 client's Data Platform.
  • Identify opportunities for process improvements within the QA and data engineering processes.
  • Implement automation tools and techniques to enhance efficiency and effectiveness.
  • Act as a liaison between QA, development, and business teams to ensure alignment and understanding of project goals and quality expectations.
  • Monitor and report on observed process performance & suggest data quality enhancements.
Requirements:
  • 10+ years of Quality Assurance Testing experience.
  • 6+ years of QA experience focused on data-centric projects.
  • Minimum of 2 years of experience working in a lead role.
  • Experience working with business stakeholders and/or product owners to understand data requirements and business cases.
  • Experience of having Quality Data Analysts reporting into you.
  • 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 API's) 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.
  • Bachelor's degree in Computer Science, Information Systems, or a related field.
Preferred Qualifications:
  • Experience in the retail industry, with knowledge of retail operations.
  • 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.

Compensation: $70.00/hr

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.