Collibra Data Quality & DIP Engineer

Location: Vasanthanagar

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 environment.