Data Quality Specialist

2 weeks ago

jaipur, India beBeeData Full time

Quality Assurance AnalystThe Quality Assurance Analyst will ensure the quality and reliability of data workflows executed through Notebook/JupyterLab and data platforms.Key Responsibilities:Data & Notebook ValidationValidate JupyterLab notebooks for logic accuracy, data transformation, and analytical correctness using libraries like Pandas, NumPy, PySpark, Apache Sedona, and GeoMesa.Ensure seamless integration of notebooks within the platform, confirming all required libraries, kernels, and dependencies function reliably for users.Verify error-free execution, correct geospatial operations, and a stable, consistent user experience across user roles and environments.Data Verification & ReconciliationPerform backend data verification using complex SQL queries and Python-based comparison scripts.Validate aggregation logic, statistical calculations, and transformations implemented through Pandas and Spark frameworks.Identify anomalies, duplicates, and data inconsistencies across datasets.Pipeline & Platform TestingTest data pipelines developed using Spark/PySpark and associated libraries.Validate ingestion workflows from multiple sources including APIs, files, and cloud storage.Test performance and scalability of pipelines handling high-volume datasets.Test Planning & ReportingDesign detailed test cases covering notebook execution, data integrity, and analytical accuracy.Maintain test artifacts and data validation reports.Log and track defects using project management tools.Collaboration & Continuous ImprovementWork closely with data engineers and data scientists to validate logic developed using Notebook and Python-based analytics frameworks.Suggest improvements to data quality checks and automation strategies.

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