Data Quality and Analytics Professional

About the job

Data Quality and Analytics Professional Required for Enterprise Solutions Development ### Job Description: Our company builds solutions to help enterprises understand their customers. We're looking for a professional with expertise in data quality and analytics to join our team. In this role, you'll be responsible for ensuring the accuracy and reliability of data workflows executed through Notebook/JupyterLab and data platforms. Your focus will be on validating processing logic, workflows, and analytical outputs built using Python, Spark, and modern data libraries. This involves verifying error-free execution, correct geospatial operations, and a stable user experience across user roles and environments. You'll also perform backend data validation using complex SQL queries and Python-based comparison scripts, validating aggregation logic, statistical calculations, transformations implemented through Pandas frameworks, identifying anomalies, duplicates, data inconsistencies across datasets. The ideal candidate will have strong Python scripting skills for automation, sound knowledge of JupyterLab/workflows, SQL experience with reconciliation & analysis, hands-on validation of data logic using Pandas, Numpy, Pyspark, Apache Sedona (GeoSpark), GeoMesa. Required Skills: • Strong Python scripting for automation • Experience in JupyterLab or workflows • Hands-on validation of data logic using Pandas, Numpy, PySpark, Apache Sedona, GeoSpark, GeoMesa.

Requirements

• data quality
• analytics
• Python scripting
• JupyterLab
• SQL

Preferred Technologies

• data quality
• analytics
• Python scripting
• JupyterLab
• SQL

About the company

Our company builds solutions to help enterprises understand their customers.