Remote, but you must be in the following location
We are seeking an experienced Big Data Test Automation Engineer to design, build, and maintain robust test automation frameworks across our large-scale data platforms and web applications. In this role, you will validate complex data pipelines (ETL/ELT), ensure high data integrity across distributed data stores, and automate both back-end data processing and front-end interface workflows using modern test frameworks.
Location: Indore, Gurugram, Raipur
Test Framework Development: Design, implement, and maintain scalable test automation frameworks from scratch using Java and Python.
ETL & Big Data Validation: Formulate automated test suites to validate complex ETL pipelines, data transformations, data quality, data completeness, and schema migrations across distributed environments.
UI & BDD Automation: Automate functional, regression, and end-to-end user workflows using Selenium WebDriver integrated with BDD Cucumber.
Service & Pipeline Testing: Build and execute test suites using Pytest for data scripts, API services, and scheduled pipeline jobs.
Database & Query Verification: Author advanced SQL queries to extract, reconcile, and validate high-volume data sets across relational databases, data warehouses, and data lakes.
Functional & Integration Testing: Partner with product managers and data engineers to derive comprehensive test scenarios, edge cases, and acceptance criteria from functional requirements.
CI/CD Integration: Integrate automated test suites into CI/CD pipelines (e.g., Jenkins, GitHub Actions, GitLab CI) to ensure continuous quality gates across all release cycles.
Defect Management: Identify, report, trace, and isolate defects using issue tracking tools (e.g., JIRA), performing thorough root cause analysis on pipeline or automation failures.
Experience: 5 years of hands-on experience in Quality Assurance and Test Automation, with significant focus on Data Platform or Big Data testing.
Programming Languages: Strong proficiency in both Java and Python.
Automation Tools & Frameworks:
Hands-on expertise with Selenium WebDriver.
Strong working knowledge of BDD frameworks (Cucumber / Gherkin syntax).
Deep experience with Pytest for Python-based test development.
Database & ETL Skills:
Advanced SQL skills (joins, window functions, aggregations, subqueries) for large-scale data validation.
Proven experience in ETL/ELT Testing, validating source-to-target data mappings, reconciliation, and schema integrity.
Testing Methodologies: Solid foundation in Functional Testing, Regression Testing, End-to-End Testing, and Data Quality Assurance best practices.
Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline (or equivalent practical experience).
Why Join Us?
Work on cutting-edge cloud data projects.
Leadership opportunity with high ownership.
Dynamic and growth-oriented work environment.
