Collibra Data Quality & DIP Engineer

Factspan; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Factspan in Bengaluru is seeking an experienced Collibra Data Quality & DIP Engineer (Certified Collibra Ranger Mandatory) to support critical data quality initiatives for financial KPI reporting and governance. The role involves profiling large datasets, creating DQ rules, managing Collibra workflows, and integrating quality frameworks for accuracy and reliability.

Responsibilities include data profiling, configuring DQ rules, scheduling DQ jobs, and developing SQL queries for profiling and

Qualifications

• Experience with Collibra Data Quality and Collibra DIP.
• Ability to profile data and implement DQ rules.
• Knowledge of data governance, cataloging, and lineage mapping.

Responsibilities

• Perform comprehensive data profiling on large datasets.
• Configure and implement data quality rules in Collibra DQ.
• Schedule and manage DQ jobs for continuous monitoring.
• Develop and execute custom SQL queries for profiling and validation.
• Leverage Collibra DIP features for data intelligence and lineage mapping.
• Collaborate with governance and reporting teams to enforce DQ guardrails.

Skills

Data governance

Data cataloging

Lineage mapping

Analytical thinking

Problem solving

Tools

Collibra DQ

Collibra DIP

SQL

Python

Job description

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.
• Hands‑on expertise with Collibra DQ and Collibra DIP.
• Strong SQL and Python proficiency for data analysis and rule configuration.
• Deep understanding of data profiling, pattern detection, and anomaly identification.
• Strong analytical thinking and problem‑solving mindset.
• Excellent communication and documentation skills.

Mandatory Skills:

• 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 environment.