Data Engineer
Job Description
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