ETL QA

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NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at

NTT DATA's Client is seeking an ETL QA resource to work in an agile environment with a development team to:
Design, develop, and maintain comprehensive test plans and test cases for scalable data pipelines.
Implement automated testing solutions using Python and PySpark on a cloud-native Lakehouse data platform.
Write efficient SQL queries to validate data extraction, transformation, and loading processes.
Collaborate with product management and analysts to understand data requirements and ensure quality assurance.
Optimize and troubleshoot data pipelines for performance and reliability.
Ensure data quality and integrity through comprehensive testing and validation processes.
Follow DevOps principles and use CI/CD to deploy and operate automated testing frameworks.
Required Skills:
Proficiency in Python and PySpark.
Strong experience with SQL and database management.
Knowledge of software development patterns and best practices in quality assurance.
Experience with ETL/ELT processes and data pipeline testing.
Proficiency developing using version control, automated testing, and deployments using git-based tools like GitHub and GitHub Actions.

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