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.
