Data Engineer Tester

NTT DATA Global Delivery Services Ltd

Bengaluru

On-site

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

Full time

10 days ago

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Job summary

NTT DATA is seeking a Data Engineer - Tester to validate ETL/ELT pipelines, ensure data quality across source systems and AWS S3 data lakes, and design scalable test frameworks. The role emphasizes DataTester-based automation, PySpark-driven data processing, and strong SQL validation.

The candidate will collaborate with Data Engineers and Platform teams to implement TDD practices within an enterprise data ecosystem and support both on-site and hybrid work arrangements.

Qualifications

  • Hands-on experience with DataTester to automate data quality checks.
  • Strong proficiency in PySpark and Apache Spark for manipulating and querying large-scale datasets.
  • Deep understanding of AWS S3 storage structures, partitioning strategies, and file formats (Parquet, Delta, Avro).
  • Solid background in functional and non-functional data testing, including data migration and regression testing.
  • Advanced SQL skills for querying relational databases and verifying data warehousing solutions.
  • Experience with Git and CI/CD deployment pipelines for automated test execution.

Responsibilities

  • Pipeline Validation: Build automated test suites to validate complex ETL/ELT pipelines using PySpark and DataTester.
  • Data Quality Assurance: Verify data accuracy, completeness, and consistency across source systems and AWS S3 data lakes.
  • Test Automation: Design and maintain scalable, reusable data testing frameworks to perform schema validation, null checks, and data reconciliation.
  • Component Testing: Conduct rigorous unit, integration, and regression testing on distributed data processing applications.
  • Defect Tracking: Identify, document, and track data anomalies, performance bottlenecks, and pipeline failures.
  • Collaboration: Partner closely with core Data Engineers and Platform teams to understand data models and implement test-driven development (TDD) practices.

Skills

Data Testing
PySpark
AWS S3
Testing Methodology
SQL
Git CI/CD
DataTester

Tools

DataTester
Git
CI/CD

Job description

Data Engineer - Tester Req ID: 386358 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.

Required Technical Skills
  • Data Testing Frameworks: Hands-on experience with DataTester to automate data quality checks.
  • Big Data Processing: Strong proficiency in PySpark and Apache Spark for manipulating and querying large-scale datasets.
  • Cloud Storage: Deep understanding of AWS S3 storage structures, partitioning strategies, and file formats (Parquet, Delta, Avro).
  • Testing Methodology: Solid background in functional and non-functional data testing, including data migration and regression testing.
  • Database & Querying: Advanced SQL skills for querying relational databases and verifying data warehousing solutions.
  • Version Control: Experience with Git and CI/CD deployment pipelines for automated test execution
Key Responsibilities
  • Pipeline Validation: Build automated test suites to validate complex ETL/ELT pipelines using PySpark and DataTester.
  • Data Quality Assurance: Verify data accuracy, completeness, and consistency across source systems and AWS S3 data lakes.
  • Test Automation: Design and maintain scalable, reusable data testing frameworks to perform schema validation, null checks, and data reconciliation.
  • Component Testing: Conduct rigorous unit, integration, and regression testing on distributed data processing applications.
  • Defect Tracking: Identify, document, and track data anomalies, performance bottlenecks, and pipeline failures.
  • Collaboration: Partner closely with core Data Engineers and Platform teams to understand data models and implement test-driven development (TDD) practices.
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.

NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. NTT DATA endeavors to make https://us.nttdata.com accessible 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.

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Experience Level Mid Level

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