Job Title

Job Title: Collibra Data Quality & Data Intelligence Platform (DIP) EngineerLocation: Bangalore (preferred). If not, can consider remote candidates out of India.Experience: 5+ YearsRole Overview : We are seeking an experienced Collibra Data Quality & Data Intelligence Platform (DIP) Engineer 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.Key ResponsibilitiesPerform comprehensive data profiling on large and complex datasets to identify trends, patterns, and outliers.Configure and implement data quality rules in Collibra DQ to detect anomalies and enforce data standards.Schedule and manage DQ jobs to ensure continuous monitoring and timely issue detection.Analyze data profiling outputs to improve the trustworthiness of financial KPIs and reports.Develop and execute custom SQL queries for profiling, validation, and integration activities.Leverage Collibra DIP features for end-to-end data intelligence, cataloging, and lineage mapping.Collaborate with data governance, reporting, and business teams to enforce DQ guardrails and ensure compliance with organizational standards.Integrate DQ and DIP solutions within existing data pipelines and enterprise ecosystems.Document processes, configurations, and standards to ensure auditability and reproducibility.Required Skills & CompetenciesHands-on expertise with Collibra DQ and Collibra DIP.Strong SQL proficiency for data analysis and rule configuration.Certified Collibra Ranger preferred.Deep understanding of data profiling, pattern detection, and anomaly identification.Strong analytical thinking and problem-solving mindset.Excellent communication and documentation skills.Preferred QualificationsPrior experience in Retail or Financial KPI reporting environments.Exposure to cloud-based data ecosystems (GCP, AWS, or Azure).Understanding of data governance principles and business impact of DQ.