Data Quality Assurance Lead

4 weeks ago


Charlotte, North Carolina, United States Amtex Systems Inc Full time
Job Description

Role: Data Quality Assurance Lead

Location: Hybrid in Charlotte, NC

Duration: 6-month contract to potential hire

As a Data Quality Assurance Lead at Amtex Systems Inc, you will be responsible for ensuring the accuracy, completeness, and reliability of data products. This includes engaging with key stakeholders and data engineering teams to determine data requirements, understanding data workflows, and reviewing end-to-end data journeys.

You will develop and implement comprehensive QA strategies and plans for data engineering and BI products, design and execute test plans, and be the key point of contact for relevant data domains. Additionally, you will contribute to harmonized data requirements across the workflow, design and monitor key performance indicators, and identify opportunities for process improvements.

Key Responsibilities:

  • Develop and implement comprehensive QA strategies and plans for data engineering and BI products
  • Design and execute test plans, including functional, integration, regression, and performance testing
  • Be the key point of contact for relevant data domains
  • Contribute to harmonized data requirements across the workflow
  • Design and monitor key performance indicators
  • Identify opportunities for process improvements

Qualifications:

Minimum of 12 years of experience as a QA/Tester with a focus on data-centric projects, with at least 2 years in a lead role. Strong experience in ETL/ELT testing, data quality reports, and performance tuning using ETL tools such as SSIS/ADF in a multi-dimensional Data Warehousing environment like SQL DB/Synapse. Familiarity with Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, Data Warehouse and Power BI.

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.



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