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We’re Concentrix, a global leader in technology and services that empowers the world’s top brands today and into the future. Focused on solutions and driven by technology and intelligence, we design, build, and operate fully integrated, end-to-end solutions at speed and scale for over 2,000 clients, addressing their toughest business challenges. With unique data insights, deep industry expertise, and advanced technology, we are the intelligent transformation partner that simplifies how companies work, interact, and transact.... |
Data Vault Tester
We are seeking a detail-oriented Data Vault Tester to join our dynamic data engineering team. In this role, you will be responsible for testing Data Vault models, validating ETL processes, and ensuring data integrity across data warehousing solutions. Your expertise will be crucial in maintaining high data quality standards, optimizing data workflows, and validating robust data architecture.
Job Location: Remote, India
Job Industry: Information Technology and Data Engineering
Job Function: Data Vault Testing and Data Quality Assurance
Salary: Negotiable
Gender: Any
Key Responsibilities
- Design and execute comprehensive test plans for Data Vault 2.0 models, including hubs, satellites, and link tables
- Validate ETL processes, data transformations, and data migrations to ensure data accuracy and integrity
- Perform data reconciliation, data validation, and data quality checks to maintain high data standards
- Develop automated test scripts to ensure repeatable and consistent testing processes
- Collaborate with data engineers, architects, and business analysts to understand data requirements and ensure accurate testing
- Identify, document, and track defects, ensuring timely resolution and maintaining data reliability
- Provide detailed test reports and documentation for audit and compliance purposes
Qualifications
- 3 to 10 years of experience in testing Data Vault models, ETL processes, and data warehousing solutions
- Proven experience in testing ETL processes, including data extraction, transformation, and loading
- Strong knowledge of data warehousing concepts, data modeling, and data governance
- Familiarity with managing multi-active records and complex data relationships
- Strong analytical and problem-solving skills with a keen attention to detail
- Experience in developing automated test scripts and ensuring consistent testing processes
- Ability to work collaboratively with cross-functional teams to achieve data accuracy and quality objectives
What We Offer
- Competitive salary and benefits package
- Remote work flexibility, allowing you to work from anywhere in India
- Career growth and development opportunities in a dynamic and innovative data engineering environment
- Collaborative work culture with a focus on high data quality standards and optimized workflows
- Opportunity to work with cutting-edge data warehousing technologies and contribute to robust data architecture
About the Company
We are a dynamic data engineering team committed to maintaining high data quality standards and optimizing data workflows. Our team is dedicated to ensuring robust data architecture and integrity across data warehousing solutions. Join us and play a critical role in validating Data Vault models, optimizing ETL processes, and driving data accuracy at scale.
We are seeking a detail-oriented Data Vault Tester to join our dynamic data engineering team. In this role, you will be responsible for testing Data Vault models, validating ETL processes, and ensuring data integrity across data warehousing solutions. Your expertise will be crucial in maintaining high data quality standards, optimizing data workflows, and validating robust data architecture.
Job Location: Remote, India
Job Industry: Information Technology and Data Engineering
Job Function: Data Vault Testing and Data Quality Assurance
Salary: Negotiable
Gender: Any
Key Responsibilities
- Design and execute comprehensive test plans for Data Vault 2.0 models, including hubs, satellites, and link tables
- Validate ETL processes, data transformations, and data migrations to ensure data accuracy and integrity
- Perform data reconciliation, data validation, and data quality checks to maintain high data standards
- Develop automated test scripts to ensure repeatable and consistent testing processes
- Collaborate with data engineers, architects, and business analysts to understand data requirements and ensure accurate testing
- Identify, document, and track defects, ensuring timely resolution and maintaining data reliability
- Provide detailed test reports and documentation for audit and compliance purposes
Qualifications
- 3 to 10 years of experience in testing Data Vault models, ETL processes, and data warehousing solutions
- Proven experience in testing ETL processes, including data extraction, transformation, and loading
- Strong knowledge of data warehousing concepts, data modeling, and data governance
- Familiarity with managing multi-active records and complex data relationships
- Strong analytical and problem-solving skills with a keen attention to detail
- Experience in developing automated test scripts and ensuring consistent testing processes
- Ability to work collaboratively with cross-functional teams to achieve data accuracy and quality objectives
What We Offer
- Competitive salary and benefits package
- Remote work flexibility, allowing you to work from anywhere in India
- Career growth and development opportunities in a dynamic and innovative data engineering environment
- Collaborative work culture with a focus on high data quality standards and optimized workflows
- Opportunity to work with cutting-edge data warehousing technologies and contribute to robust data architecture
About the Company
We are a dynamic data engineering team committed to maintaining high data quality standards and optimizing data workflows. Our team is dedicated to ensuring robust data architecture and integrity across data warehousing solutions. Join us and play a critical role in validating Data Vault models, optimizing ETL processes, and driving data accuracy at scale.
