Offshore Data Tester

Testing & Validation: Designing and running tests for data ingestion, transformation (ETL/ELT), and storage (data warehouses/lakes). Data Profiling & Monitoring: Analyzing data structure, identifying anomalies, and setting up continuous monitoring for quality issues. Automation: Building automated test frameworks using Python, Pytest, and SQL to catch defects early. Rule Definition: Creating and implementing data quality rules and metrics (e.g., completeness, accuracy). Collaboration: Working with data engineers, analysts, and business stakeholders to understand needs and resolve defects. Technical: SQL (complex queries), Python (Pandas, PySpark), Data Warehousing (DWH), Cloud Platforms (AWS, Azure, GCP), BI Tools (Tableau, Power BI). Analytical: Strong problem-solving, attention to detail, understanding data modeling, data lifecycle, and governance. Methodologies: Familiarity with data testing processes, data governance, and CI/CD.