Data Quality Assurance Lead
4 weeks ago
Role: Data Quality Assurance Lead
Location: Hybrid in Charlotte, NC
Duration: 6-month contract to potential hire
Qualifications:
• Experience working with business stakeholders and/or product owners to understand data requirements and business cases.
• 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 and extensive hands-on experience in ETL/ELT testing, providing DQ reports and performance tuning using ETL tools such as SSIS/ADF in a multi-dimensional Data Warehousing environment like SQL DB/Synapse.
• Hands-on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, Data Warehouse and Power BI.
• Familiarity with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Python/PySpark, Logic Apps, Key Vault, and Azure functions and Power BI.
• Good experience in defining and enabling data quality standards for auditing, and monitoring purposes.
• Strong understanding of data engineering concepts, including data modeling, ETL processes, and database management.
• Proficiency in SQL and data querying for test validation and analysis.
• Strong proficiency in scripting to read/write SQL queries and python.
• Strong knowledge of data management, ETL processes, data warehousing, and BI tools.
• Professional data management qualifications preferable
• Proficiency in the functional and non-functional testing including unit-testing, integration testing and defect management tools.
• A great team member with an ability to adapt to change quickly and balance multiple priorities is crucial.
• The candidate should be highly organized and efficient, with a strong attention to detail and excellent communication skills (both verbal and written).
• Experienced in data quality testing for data engineering pipelines and working with data engineering teams is a must.
• Strong understanding of Agile methodologies, with working experience in Scrum or SAFe Agile frameworks.
• Experience with QA automation tools and frameworks is a. plus.
• Established track record of working with Technology (including experience with API’s) and agile methodology
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