Data Quality Expert

4 days ago

anand, India beBeeDataExpert Full time

Job Description:We are seeking a quality and analytics expert to ensure the accuracy, reliability and consistency of data workflows executed through Notebook/JupyterLab and data platforms. This role focuses on validating processing logic, workflows and analytical outputs built using Python, Spark and modern data libraries.Required Skills and Qualifications:Data Quality Assurance:Validate JupyterLab notebooks for logical 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 Validation and Reconciliation:Perform backend data validation 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 and Platform Testing:Test 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 and Reporting:Design detailed test cases covering notebook execution, data integrity and analytical accuracy.Maintain test artifacts and data validation reports.Log and track defects using tools.Collaboration and Continuous Improvement:Work 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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