ETL, Big Data Tester

NucleusTeq

. Design, implement, and maintain scalable test automation frameworks from scratch using Java and Python .

Posted 11/9/2026full-timeIndore • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable test automation frameworks using Java and Python, with a strong focus on validating complex ETL pipelines and data quality. Proficient in integrating automated testing into CI/CD pipelines and collaborating with cross-functional teams to ensure comprehensive test coverage.

Highest-signal resume keywords

Java ProgrammingPython ProgrammingSelenium WebDriverETL/ELT TestingAdvanced SQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Test Automation FrameworksAutomated Test SuitesFunctional TestingRegression TestingEnd-to-End TestingData Quality AssurancePytestBDD FrameworksSQL QueriesData Validation

Tools & Technologies

JenkinsGitHub ActionsGitLab CIJIRA

Industry Keywords

Quality AssuranceBig Data TestingData TransformationsData CompletenessSchema Migrations

Tech Stack

Tools & technologies

ETLJavaJenkinsPythonSeleniumSQL

About the role

Key responsibilities & impact

Design, implement, and maintain scalable test automation frameworks from scratch using Java and Python
Formulate automated test suites to validate complex ETL pipelines, data transformations, data quality, data completeness, and schema migrations across distributed environments
Automate functional, regression, and end-to-end user workflows using Selenium WebDriver integrated with BDD Cucumber
Build and execute test suites using Pytest for data scripts, API services, and scheduled pipeline jobs
Author advanced SQL queries to extract, reconcile, and validate high-volume data sets across relational databases, data warehouses, and data lakes
Partner with product managers and data engineers to derive comprehensive test scenarios, edge cases, and acceptance criteria from functional requirements
Integrate automated test suites into CI/CD pipelines such as Jenkins, GitHub Actions, and GitLab CI
Identify, report, trace, and isolate defects using issue tracking tools such as JIRA, performing root cause analysis on pipeline or automation failures

Requirements

What you’ll need

5 years of hands-on experience in Quality Assurance and Test Automation, with significant focus on Data Platform or Big Data testing
Strong proficiency in both Java and Python
Hands-on expertise with Selenium WebDriver
Strong working knowledge of BDD frameworks (Cucumber / Gherkin syntax)
Deep experience with Pytest for Python-based test development
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
Solid foundation in Functional Testing, Regression Testing, End-to-End Testing, and Data Quality Assurance best practices
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline (or equivalent practical experience)

Benefits

Comp & perks

Work on cutting-edge cloud data projects
Leadership opportunity with high ownership
Dynamic and growth-oriented work environment