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.

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.