Quality Assurance Lead

NTT DATA Global Delivery Services Ltd

Bengaluru

On-site

INR 1,800,000 - 3,200,000

Full time

7 days ago
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Job summary

NTT DATA Global Delivery Services Ltd in Bengaluru, India, seeks a QA Lead (Data Platform) to design test strategies and lead functional, regression, and integration testing. You will validate ETL/ELT pipelines and perform data reconciliation testing, ensuring high-quality releases.

Experience in end-to-end testing, SQL data validation, and test automation is essential, with exposure to Databricks, PySpark, and AWS testing environments. Senior-level role with impact on production readiness.

Qualifications

  • End-to-end testing experience.
  • SQL validation and data testing.
  • Test automation tools.
  • Defect management processes.

Responsibilities

  • Create test strategies and test plans.
  • Execute functional, regression, and integration testing.
  • Validate ETL and ELT pipelines.
  • Perform data reconciliation testing.
  • Automate testing processes where appropriate.
  • Track and manage defects.

Skills

End-to-end testing
SQL validation
Data testing
Defect management

Tools

Databricks testing
PySpark validation
AWS testing environments

Job description

QA Lead Req ID: 394504 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, QA Lead to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

QA Lead (Data Platform) Role Overview
Key Responsibilities
  • Create test strategies and test plans.
  • Execute functional, regression, and integration testing.
  • Validate ETL and ELT pipelines.
  • Perform data reconciliation testing.
  • Automate testing processes where appropriate.
  • Track and manage defects.
Success Measures
  • High test coverage achieved.
  • Defects identified early in delivery lifecycle.
  • Stable production releases.
Essential Skills
  • End-to-end testing experience.
  • SQL validation and data testing.
  • Test automation tools.
  • Defect management processes.
Desirable Skills
  • Databricks testing experience.
  • PySpark validation skills.
  • AWS testing environments.
About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

Equal Opportunity Statement

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.

Experience Level

Senior Level

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