Data Engineer - Tester

NTT DATA BUSINESS SOLUTIONS; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

NTT DATA BUSINESS SOLUTIONS in Bengaluru seeks a Data Engineer - Tester to join the team. You will build automated test suites to validate ETL/ELT pipelines using PySpark and DataTester, and ensure data quality across source systems and AWS S3 data lakes.

The role requires strong SQL skills, experience with Spark, and collaboration with data engineers to implement test-driven development. This on-site position offers opportunities to shape data validation in a complex analytics environment.

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 quality

Test strategy

ETL testing

Data migration

Tools

DataTester

PySpark

Apache Spark

AWS S3

Parquet

Delta

Avro

SQL

Git

CI/CD

Job description

Job Summary

We are currently seeking a Data Engineer - Tester to join our team in Bengaluru, Karntaka (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.