ETL QA Lead Tester

5 days ago

Charlotte NC United States TEK NINJAS Full time

Role: ETL QA Lead Tester

Location: 100% in Charlotte, NC (3 days on site/2 days remote)

Duration: 12 months +

Must have:

  • 12 years total experience, 2 years lead experience
  • Strong ETL/ELT Testing
  • SSIS
  • Azure Data Factory

Job Description

A Data Quality Assurance Lead 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.

Key responsibilities for this role include but are not limited to the following:

  • Engage across key CircleK 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.

Data Management:

  • Passion and interest in Data Quality, with demonstrated precision and attention-to-detail in solving problems
  • Hands-on experience using Data Quality tracking tools.
  • Understanding of data management concepts and associated business processes and tools, specifically Data Modelling and Data Quality.
  • Deliver business performance improvement through addressing data quality.
  • Process Improvement
  • Collaborate with Product owner & development teams to define test cases for user stories and oversee their execution.
  • Ability to optimize data processes to simplify collection and use of data while maintaining data quality.

Qualifications

Experience working with business stakeholders and/or product owners to understand data requirements and business cases.

Bachelor’s degree in Computer Science, Information Systems, or a related field.

  • 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
  • Demonstratable experience handling large amount of data, bringing order and rigor to unstructured data environments and enhancing accuracy
  • Self-starter with ability to meet tight deadlines and manage multiple, competing priorities
  • Strong attention to detail in their work, communication and planning

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