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Location: Bangalore / India Overall requirement: 8 to 16 years ( Preferably Individual contributor) Notice Period : Immediate -30 days Mandatory: Certified Collibra Ranger Job Title: Collibra Data Quality & DIP Engineer Role Overview We 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. Key Responsibilities - Perform 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 & Competencies - Hands-on expertise with Collibra DQ and Collibra DIP. - Strong SQL and Python proficiency for data analysis and rule configuration. - Certified Collibra Ranger Mandatory. - Deep understanding of data profiling, pattern detection, and anomaly identification. - Robust analytical thinking and problem-solving mindse .