Job DescriptionJob Title: Collibra Data Quality & DIP Engineer - SPA NnRole Overview NWe are seeking an experienced Collibra Data Quality & Data Intelligence Platform (DIP) Engineer (Certified Collibra Ranger Mandatory) to support critical data quality initiatives for financial KPI reporting and governance. The ideal candidate will be hands-on in profiling large data sets, creating DQ rules, managing Collibra DIP workflows, and integrating quality frameworks to ensure data accuracy, consistency, and reliability across business functions. NnKeyResponsibilities Nn Perform comprehensive data profiling on large and complex datasets to identify trends, patterns, and outliers. N Configure and implementdata quality rules in Collibra DQ to detect anomalies and enforce data standards. N Schedule and manage DQ jobs to ensure continuous monitoring and timely issue detection. N Analyze data profiling outputs to improve the trustworthiness of financial KPIs and reports. N Develop and execute custom SQL queries for profiling, validation, and integration activities. N Leverage Collibra DIP features for end-to-end data intelligence, cataloging, and lineage mapping. N Collaborate with data governance, reporting, and business teams to enforce DQ guardrails and ensure compliance with organizational standards.



N Integrate DQ and DIP solutions within existing data pipelines and enterprise ecosystems. N Document processes, configurations, and standards to ensure auditability and reproducibility. NnnRequired Skills & Competencies Nn Hands-on expertise with Collibra DQ and Collibra DIP. N Strong SQL and Python proficiency for data analysis and rule configuration. N Certified Collibra Ranger Mandatory. N Deep understanding of data profiling, pattern detection, and anomaly identification. N Strong analytical thinking and problem-solving mindset. N Excellent communicationand documentation skills. NnnMandatory Skills: Nn Certified Collibra Ranger (Mandatory) N Hands-on expertise in Collibra DQ, Collibra DIP, SQL, and Python N Background in data governance, data cataloging, and lineage mapping NnnPreferred Qualifications Nn Prior experience in Retail or Financial KPI reporting environments. N Exposure to cloud-baseddata ecosystems (GCP, AWS, or Azure). N Understanding of data governance principles and business impact of DQ. NnnWhy Join NThis role offers the opportunity to work on strategic financial data quality initiatives for a global retail leader, driving trust and reliability in critical KPI reporting, while working with cutting-edge Collibra technologies in a dynamic, data-driven setting.

📌 Collibra Data Quality & Dip Engineer (Karnataka)
🏢 Factspan
📍 Karnataka