Data Management, Senior Manager

AIA Shared Services; Makati; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

MediCard Phils., Inc. is a leading health-maintenance organization in the Philippines, seeking a Data Engineer to turn raw data into actionable insights.

You will capture data from multiple sources, apply ETL techniques, and develop data platforms including data warehouses and data lakes. Strong emphasis on data quality, standards, and scalable APIs to support analytics across the organization.

Qualifications

• Experience building data ingestion pipelines from diverse sources.
• Hands-on experience with ETL tools and SQL.
• Knowledge of data modeling and warehousing concepts.

Responsibilities

• Capture data from multiple sources into centralized systems.
• Design and implement ETL/ELT pipelines and data models.
• Develop and maintain data platforms (data warehouses, data lakes) and APIs.
• Define data standards and ensure data quality across datasets.

Skills

Data extraction

ETL processes

Data analytics

Data warehouses

Data lakes

APIs

Data quality

Data standards

Data catalogues

Job description

MediCard Phils., Inc. is one of the country's leading HMO and the only HMO founded and run by Doctors. Since its inception, the concept of service-oriented total health care has been the molding ideal of MediCard. The competition is vast, and the benefits being offered by the competitors are tempting. However, MEDICard has taken the lead in providing innovative and productive ideas that cut down the cost of health maintenance without compromising its quality. MediCard now boasts of more than half a million members and over 54,000 accredited doctors in over 1,000 hospitals and clinics nationwide. It also operates 16 MediCard free-standing clinics that provide services at par with those offered by hospitals minus the confinement. MediCard is currently looking for assertive, dynamic and energetic individuals to fill up the following vacancy.

Responsible for capturing data from various sources into the system for data analytics Apply data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources Create data collection frameworks for structured and unstructured data Develop and maintain infrastructure systems such as data warehouses, data lakes and data access application programming interfaces (APIs) Define data standards, develop data catalogues and ensure data quality (map Data Engineer, Data Management, Data Architect to this job profile)

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