Data Engineer - Tester

NTT DATA, Inc.

Bengaluru

On-site

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

Full time

3 days ago
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Job summary

NTT DATA is seeking a Data Engineer - Tester to join our Bengaluru team. The role focuses on validating complex ETL/ELT pipelines, ensuring data quality across source systems and AWS S3 data lakes, and driving test-driven development with DataTester and PySpark.

You will build scalable test frameworks, perform unit, integration and regression tests, and collaborate with Data Engineers and Platform teams to deliver reliable data products for enterprise clients.

Qualifications

  • Hands-on experience with DataTester to automate data quality checks.
  • Strong proficiency in PySpark and Apache Spark.
  • Experience with AWS S3 storage structures and file formats.
  • Background in functional and non-functional data testing.
  • Advanced SQL skills for querying data warehouses.
  • Experience with Git and CI/CD for automated tests.

Responsibilities

  • Build automated test suites for ETL/ELT pipelines using PySpark and DataTester.
  • Verify data accuracy, completeness, consistency across sources and AWS S3 data lakes.
  • Design and maintain scalable data testing frameworks for schema validation and data reconciliation.
  • Conduct unit, integration, and regression testing on distributed data processing apps.
  • Identify, document, and track data anomalies and pipeline failures.
  • Collaborate with Data Engineers and Platform teams to implement TDD practices.

Skills

Data Testing Frameworks
Big Data Processing
Cloud Storage
Testing Methodology
Database & Querying
Version Control

Tools

DataTester
PySpark
AWS S3
SQL
Git
CI/CD

Job description

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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,

We are currently seeking a Data Engineer - Tester to join our team in Bengaluru, Karnātaka (IN-KA), India (IN).

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. 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 .


Job Segment: Data Warehouse, Quality Assurance, Testing, SQL, Database, Technology

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