Data Engineer

Synopsis

We are seeking a candidate with strong technical expertise to enhance our data management and governance capabilities.

This role is critical in ensuring the accuracy, consistency, and usability of our data assets. The ideal candidate will possess a deep understanding of data structures, fields, attributes, and governance frameworks while working closely with business and technology teams to optimize data integrity and quality. The position is not an operational role but instead focuses on technical data analysis, data structuring, and governance to support business intelligence, decision-making, and regulatory compliance.

What You’ll Do

• Data Structure & Governance: data fields, attributes, and structures to ensure alignment with business and regulatory requirements.
• Ensure adherence to data governance policies, standards, and best practices to maintain data integrity.
• Data Quality & Validation: Implement data quality checks to identify discrepancies and inconsistencies across systems. - Develop and apply data validation rules to ensure data accuracy and completeness.
• Assist in data reconciliation activities, particularly in data migration, integration, and transformation projects.
• Conduct root cause analysis of data anomalies and propose corrective measures.
• Data Extraction, Transformation & Reporting: - Perform data extraction and transformation using SQL and other analytical tools.
• Collaboration: - Act as a liaison between business, IT, and data engineering teams to improve data handling processes. - Work with regulatory and compliance teams to ensure that data standards align with industry regulations.
  
  

What Experience You Need

• 5 years of experience in data analysis, data management, or a related role.
• Strong understanding of data structures, relational databases, and data governance frameworks
• Expertise in SQL for data querying, extraction, and transformation
• Experience in data reconciliation, validation, and anomaly detection
• Preferred Qualifications: Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field
• Experience working in financial services, credit bureaus, or banking sectors, Exposure to Python, R, or other programming languages for advanced data analytics
  
  

What Could Set You Apart

• Experience working in a Credit Bureau/Banking Sector or similar role industry Strong understanding of bureau-specific data submission formats, structures, and regulatory compliance requirements.
• Knowledge of how data gets injected into the bureau ecosystem, including ingestion pipelines and processing workflows.
• Strong communication and collaboration skills to work effectively with internal teams and external clients.