Collibra Engineer

Job Title: Collibra Data Quality & Data Intelligence Platform (DIP) Engineer

Location: Bangalore (preferred). If not, can consider remote candidates out of India.

Experience: 5+ Years

Role 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 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 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 Qualifications

• Prior 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.