Quality and Analytics Specialist
Syntasa
Quality and Analytics Specialist About Us We do things differently. We build a solution for enterprises to make sense of all of their information. We know how important it is for companies to understand their customers, so we provide our technology to solve their biggest challenges. We believe in open and transparent communication, not strict rules and hierarchies. We are a team of hardworking, talented people who aim to build software that makes sense of data. We’ve got some huge challenges ahead of us, and we need smart, driven wordsmiths to help us tackle them. If you think you’ve got what it takes—join us. Role Summary We are looking for a Manual QA Engineer specializing in Data Quality and Analytics Testing. This role requires strong hands-on experience in manual testing, data validation, and backend verification, along with practical exposure to Jupyter notebooks, Python, and data libraries for validation purposes. This is a QA role with heavy emphasis on manual testing and data validation, not a data engineering or data science position.. Key Responsibilities Manual QA & Functional Testing Perform end-to-end manual testing of UI/data and analytics features. Validate application workflows, UI behavior, and backend data processing. Design and execute detailed test cases, test scenarios, and regression suites. Perform exploratory, negative, and boundary testing. Pipeline & Platform Testing Perform manual testing of Spark/PySpark data pipelines. Validate ingestion from files, APIs, and cloud storage. Execute sanity, regression, and volume testing for large datasets. Notebook & Python-Based Validation Test and validate JupyterLab / notebook-based workflows. Execute and review notebooks for correctness, stability, and expected outputs. Use Python and data libraries (Pandas, NumPy, PySpark) to support validation and comparisons (not for model develo
Vacancy posted 24 days ago
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