Job Title: Collibra Data Quality & DIP Engineer - SPA 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.

Strong analytical thinking and problem-solving mindset.

Excellent communication and documentation skills.

Mandatory Skills: Certified Collibra Ranger (Mandatory)

Hands-on expertise in Collibra DQ, Collibra DIP, SQL, and Python

Background in data governance, data cataloging, and lineage mapping 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. Why Join

This 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 workplace.

📌 Collibra Data Quality & DIP Engineer (Bengaluru)
🏢 Factspan
📍 Bengaluru