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Senior Quality Assurance Specialist

hace 2 meses


Valle de Chalco Solidaridad, México Global Payments A tiempo completo
About the Role

We are seeking a highly skilled Sr. Quality Assurance Specialist to join our Data Analytics team at Global Payments. As a key member of our team, you will play a crucial role in ensuring the quality and integrity of our data products and services.

Key Responsibilities
  1. Lead Quality Efforts: Oversee the testing process for data analytics projects, ensuring accuracy and reliability of data products.
  2. Design and Execute Tests: Develop, document, and review test cases for big data projects, collaborating with data engineers and analysts.
  3. Data Validation and Verification: Conduct thorough data validation, verification, and cross-referencing with source data to ensure data integrity.
  4. Troubleshoot and Analyze: Identify and resolve data quality issues, working independently to troubleshoot and analyze problems.
  5. Collaborate with Stakeholders: Build productive relationships with internal and external stakeholders to deliver high-quality data solutions.
Requirements
  1. Proven Experience: Minimum 2+ years of experience in quality assurance, particularly with big data projects and data analytics.
  2. Technical Skills: Strong knowledge of data validation techniques, data warehousing, and ETL processes. Proficiency with SQL and familiarity with automated testing frameworks for data projects.
  3. Soft Skills: Excellent problem-solving and analytical skills, with the ability to troubleshoot data quality issues independently. Strong attention to detail and a deep understanding of data quality principles.
What You'll Achieve
  1. Deliver High-Quality Data Solutions: Contribute to the development of high-quality data products and services that meet our customers' needs.
  2. Drive Data Quality Improvements: Identify areas for improvement and implement changes to enhance data quality and testing processes.
  3. Collaborate with Cross-Functional Teams: Work effectively with data engineers, analysts, and other stakeholders to deliver data solutions.