NTT DATA
QA DATA Engineer - Remote
NTT DATA, Frisco, Texas, United States, 75034
Req ID:
294343
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a QA DATA Engineer - Remote to join our team in Frisco, Texas (US-TX), United States (US).
Key Responsibilities:
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.Preferred Skills:
Understanding of testing methodologies for data pipelines, including unit testing, integration testing, and end-to-end testing.Knowledge of data governance and data security best practices.Familiarity with data warehousing concepts and tools.Experience with cloud platforms (e.g., Azure, AWS, GCP) with Azure preferred.Knowledge of big data technologies (e.g., Microsoft Fabric, Azure Synapse, Lakehouse, Databricks).Familiarity with advanced data orchestration tooling and development frameworks like dbt or Airflow.Experience working in a healthcare-related industry.Qualifications:
Intense intellectual curiosity and an ability to view old problems with a fresh perspective.Bachelor's degree in Computer Science, Engineering, or a related field.8+ years of experience in quality assurance or a related role.Strong problem-solving skills and attention to detail.Excellent communication and teamwork abilities.Essential Job Functions:
Specific vision abilities, including close vision, operate computer screen for extended periods of time.May be required to sit or stand for extended periods of time.Ability to read, write, and speak the English language fluently.
About NTT DATA
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 us.nttdata.com
NTT DATA is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.
294343
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a QA DATA Engineer - Remote to join our team in Frisco, Texas (US-TX), United States (US).
Key Responsibilities:
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.Preferred Skills:
Understanding of testing methodologies for data pipelines, including unit testing, integration testing, and end-to-end testing.Knowledge of data governance and data security best practices.Familiarity with data warehousing concepts and tools.Experience with cloud platforms (e.g., Azure, AWS, GCP) with Azure preferred.Knowledge of big data technologies (e.g., Microsoft Fabric, Azure Synapse, Lakehouse, Databricks).Familiarity with advanced data orchestration tooling and development frameworks like dbt or Airflow.Experience working in a healthcare-related industry.Qualifications:
Intense intellectual curiosity and an ability to view old problems with a fresh perspective.Bachelor's degree in Computer Science, Engineering, or a related field.8+ years of experience in quality assurance or a related role.Strong problem-solving skills and attention to detail.Excellent communication and teamwork abilities.Essential Job Functions:
Specific vision abilities, including close vision, operate computer screen for extended periods of time.May be required to sit or stand for extended periods of time.Ability to read, write, and speak the English language fluently.
About NTT DATA
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 us.nttdata.com
NTT DATA is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.