QA DATA Engineer - Remote

NTT DATA; Frisco (TX); Remote; USD 100,000 - 135,000; Full time

Job summary

NTT DATA seeks a QA Data Engineer to fully develop and maintain robust test plans for scalable data pipelines in a remote role. The ideal candidate will leverage their expertise in Python, PySpark, and SQL to drive software quality and collaborate with teams to ensure data integrity. With a focus on innovation and excellence, this position offers the chance to contribute to cutting-edge projects in a dynamic environment.

Qualifications

• 8+ years of experience in quality assurance or related role.
• Experience with cloud platforms like Azure is preferred.
• Strong problem-solving skills and attention to detail.

Responsibilities

• Design, develop, and maintain comprehensive test plans and test cases.
• Implement automated testing solutions on a cloud-native platform.
• Collaborate with product management to ensure quality assurance.

Skills

Python

PySpark

SQL

ETL/ELT processes

CI/CD

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

GitHub

Pytest

TesRail

Job description

Req ID: 326415

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.

Mandatory skills:

4-5 years of Development experience using Python

5 years of Azure cloud infrastructure (Fabric, ADF) and general understanding of basic functionality of ETL data pipelines.

Good understanding of SQL (from QA perspective - not necessarily from SQL DBA perspective)

4-5 years of Python, Pytest automation framework, TesRail/Jira for testing and test case management.

Candidate can work independently with minimum documentation and supervision and have the ability to work and document Spikes/New features

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 atus.nttdata.com

NTT DATA endeavors to make https://us.nttdata.comaccessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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