Big Data Manual QA

HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.

A Career at HARMAN

As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.

Responsibilities:

• Develop and execute test scripts to validate data pipelines, transformations, and integrations.
• Formulate and maintain test strategies—including smoke, performance, functional, and regression testing—to ensure data processing and ETL jobs meet requirements.
• Collaborate with development teams to assess changes in data workflows and update test cases to preserve data integrity.
• Design and run tests for data validation, storage, and retrieval using Azure services like Data Lake, Synapse, and Data Factory, adhering to industry standards.
• Continuously enhance automated tests as new features are developed, ensuring timely delivery per defined quality standards.
• Participate in data reconciliation and verify Data Quality frameworks to maintain data accuracy, completeness, and consistency across the platform.
• Share knowledge and best practices by collaborating with business analysts and technology teams to document testing processes and findings.
• Communicate testing progress effectively with stakeholders, highlighting issues or blockers, and ensuring alignment with business objectives.
• Maintain a comprehensive understanding of the Azure Data Lake platform's data landscape to ensure thorough testing coverage.

Skills & Experience:

• 3-6 years of QA experience with a strong focus on Big Data testing, particularly in Data Lake environments on Azure's cloud platform.
• Proficient in Azure Data Factory, Azure Synapse Analytics and Databricks for big data processing and scaled data quality checks.
• Proficiency in SQL, capable of writing and optimizing both simple and complex queries for data validation and testing purposes.
• Proficient in PySpark, with experience in data manipulation and transformation, and a demonstrated ability to write and execute test scripts for data processing and validation.
• Hands-on experience with Functional & system integration testing in big data environments, ensuring seamless data flow and accuracy across multiple systems.
• Knowledge and ability to design and execute test cases in a behaviour-driven development environment.
• Fluency in Agile methodologies, with active participation in Scrum ceremonies and a strong understanding of Agile principles.
• Familiarity with tools like Jira, including experience with X-Ray or Jira Zephyr for defect management and test case management.
• Proven experience working on high-traffic and large-scale software products, ensuring data quality, reliability, and performance under demanding conditions.

HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.