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A leading global technology company is seeking an experienced Data Test Lead to oversee data testing initiatives. The ideal candidate will possess over 15 years of experience in data testing, ensuring quality and alignment with business requirements. Responsibilities include managing testing efforts, developing test plans, and collaborating with cross-functional teams to enhance data integrity. This role is pivotal in maintaining high standards of data quality and verification within the organization.
HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion.
Job Summary:
We're looking for an experienced Data Test Lead with 15+ years of experience in data testing. The ideal candidate will have a strong background in data testing, including data quality, data validation, and data verification. The Data Test Lead will be responsible for leading and managing data testing efforts, ensuring alignment with business requirements and industry standards.
Key Responsibilities:
1. Data Testing: Lead and manage data testing efforts, including data quality, data validation, and data verification.
2. Test Planning: Develop and execute test plans, including test cases, test scripts, and test data.
3. Test Automation: Develop and implement test automation frameworks, including data testing tools and technologies.
4. Defect Management: Identify and manage defects, including defect tracking, defect reporting, and defect resolution.
5. Collaboration: Collaborate with cross-functional teams, including data analysts, data scientists, and data engineers.
6. Quality Assurance: Ensure data quality, including data validation, data cleansing, and data transformation.
Requirements:
1. Experience: 15+ years of experience in data testing.
2. Data Testing Knowledge: Strong understanding of data testing, including data quality, data validation, and data verification.
3. Test Automation Knowledge: Strong understanding of test automation frameworks, including data testing tools and technologies.
4. Defect Management Knowledge: Strong understanding of defect management, including defect tracking, defect reporting, and defect resolution.
5. Leadership Skills: Proven leadership skills, with experience leading cross-functional teams.
Nice to Have:
1. Certifications: Certifications in data testing, such as Certified Data Tester (CDT) or Certified Software Tester (CSTE).
2. Cloud Experience: Experience with cloud-based data solutions, including AWS or Azure.
3. DevOps: Experience with DevOps practices, such as continuous integration and continuous deployment.
4. Agile Methodologies: Experience with Agile methodologies, such as Scrum or Kanban.