- 4-6 years of QA experience with a solid focus on Big Data testing, particularly in Data Lake environments on Azures 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Manual QA Engineer (Pune)
🏢 RARR Technologies
📍 Pune