Lead Data QA Engineer

1 month ago

Charlotte, United States Insight Global Full time

POSITION: Lead Data Quality Assurance Engineer

LOCATION: Charlotte, NC 28217 (Hybrid 3 times per week)

PAY RANGE: $70.00 per hour W2

DURATION: 12-Month Contract + Extensions & Potential for FTE Conversion


MUST-HAVES:

  • 10+ years of Quality Assurance Testing experience.
  • 6+ years of specific "Data-Centric" QA experience.
  • 2+ years of experience working in a "Lead" capacity (or similar role.).
  • Experience with Azure Cloud Services, Azure Synapse and Databricks.
  • 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.
  • Experience working with business stakeholders and/or product owners to understand data requirements and business cases.
  • 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.


PLUSSES:

  • Experience in the retail industry, with knowledge of retail operations.
  • Certification in Quality Assurance, Data Engineering, or related fields.
  • Experience with QA automation tools and frameworks.
  • Bachelor’s degree in Computer Science, Information Systems, or a related field.


SUMMARY:

A top Insight Global client in Charlotte, NC is looking for a Lead Data Quality Assurance Engineer to join their team The Lead Data Quality Assurance Engineer will assist in data improvement initiatives across the organization. They will work closely with data engineering, data analytics and other cross-functional teams that adopt Agile operating methods. They will support the creation of data lineage flows, participate in designing data taxonomies, help define data elements and support data migration into a modern, cloud-based data infrastructure. They will assist in multi-year initiatives that transform processes to enable digitalization. A successful candidate will have a diverse skillset, be proactive, and have strong analytical and technical skills. The ideal candidate will lead the QA efforts for data engineering and BI projects, driving best practices, and collaborating with cross-functional teams to deliver reliable, high-quality data solutions that support our business objectives. Candidates should have a good experience working with Azure Cloud Services, Azure Synapse and Databricks.


Additional responsibilities of this individual are shown below:

  • Engage across key the client’s stakeholders & data engineering team to determine the data required to deliver the final data product, understand the data workflow, and review end-to-end data journey.
  • Challenge the status quo and provide an innovative way of thinking for out-of-the-box data quality and data performance metrics.
  • 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 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.



Compensation:

$70.00/hr


Exact compensation may vary based on several factors, including skills, experience, and education.


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.

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