Data Management, Senior Manager

AIA; Makati; On-site; PHP 600,000 - 1,200,000; Full time

Job summary

MediCard Phils., Inc. is seeking a data engineer who will capture data from diverse sources to power analytics. The role focuses on building scalable data pipelines and data infrastructure to support decision making.

You will apply ETL techniques, develop data warehouses and data lakes, and ensure data quality and standards across the data ecosystem for reliable reporting.

Qualifications

• Experience in data extraction, transformation and loading (ETL) processes.
• Ability to create data collection frameworks for structured and unstructured data.
• Experience developing data warehouses, data lakes and APIs.
• Knowledge of data standards, data catalogues and data quality practices.

Responsibilities

• Capture data from multiple sources into analytics systems.
• Apply ETL techniques to connect large data sets.
• Create data collection frameworks for structured and unstructured data.
• Develop and maintain data warehouses, data lakes and APIs.
• Define data standards, catalogues and ensure data quality.

Job description

MediCard Phils., Inc. is one of the country’s leading HMOand the only HMOfounded 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 currentlylooking 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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