Data Engineer

• Design, develop, and maintain enterprise Data Warehouse solutions following Medallion Architecture principles
• Define and implement data models that support reporting, analytics, and self-service BI
• Develop scalable solutions that support growing data volumes and business requirements
• Establish standards and best practices for data engineering and warehouse development
• Design and develop ETL/ELT pipelines to ingest data
• Implement surrogate key strategies and Slowly Changing Dimensions (SCD)
• Ensure data models support both operational and analytical use cases
• Implement automated validation, reconciliation, and exception handling processes
• Monitor data accuracy, completeness, consistency, and timeliness
• Maintain technical documentation for pipelines, models, dictionaries, business rules and operational procedures
• Participate in release planning and deployment activities

Job Qualifications:

• Education: BS in Computer Science, Information Technology, Engineering or related field
• Expertise: Minimum 6 to 8 years of Data Engineering, Data Warehousing or Business Intelligence
• Business Acumen: Strong understanding of core insurance financials, policy lifecycles, and claims states.
• Technical Expertise: Advance proficiency in SSMS, SSIS, TSQL, TSQLT. Cloud is a plus.
• Analytical Mindset: Proven ability to prioritize business context and data quality over pure engineering output.
• Willing to work onsite in Alabang, Muntinlupa City