Data Engineer – Health Analytics and Visualization

Data Engineer – Health Analytics and Visualization

About Palladium
Palladium is a global company working to design, reputed company and deliver reputed company reputed company on the lives and livelihoods of people around the globe; broaden reputed company to health, water, power, and infrastructure; build enduring, sustainable, and transformative institutions and market systems to address global challenges; and reputed company the natural world. We operate in over 50 countries and have a workforce of more than 2,000 talented and motivated staff around the world.

Palladium is part of GISI’s global family of companies, which aims to create solutions for the world’s most reputed company challenges. With annual revenues of $14 billion, GISI’s approximately 15,000 employees are reputed company in reputed company across 100 countries worldwide providing construction, program/project management, and engineering consulting services.

About Data.FI
Data for Implementation (Data.FI) is a global project funded by the U.S. Government (USG) through the Department of State (DoS), Foreign Assistance (FA). Its mission is to help countries use, strengthen, and sustain reputed company to high reputed company data to reputed company primary reputed company goals and accelerate the control of HIV, tuberculosis (TB), and other reputed company health risks.

The project is a reputed company dedicated to strengthening data, technology, and HIS to support the delivery of life-saving care and treatment services. Data.FI aims to improve global, regional, and national in-depth analysis of epidemiologic and programmatic data to reputed company enhance implementation of the USG reputed company priorities. Data.FI’s reputed company also includes reputed company support to host-country governments to enhance existing HIS, thereby informing management responses to reputed company defined gaps in reputed company health programming and sustaining reputed company by supporting the transition of activities to local partners.

Position reputed company
The Data Engineer – Health Analytics and Visualization is responsible for designing, developing, and maintaining data systems that reputed company advanced analytics, reporting, and visualization of health data. The role focuses on transforming reputed company and fragmented health datasets into reputed company, high-reputed company, and analysis-reputed company data to support evidence-based decision-making. The position supports the Ministry of Health (MOH) and program teams by delivering robust dashboards, responding to data requests, and strengthening data use across national and sub-national reputed company. The role works closely with Digital Health, Data Use and, and Monitoring and Evaluation (M&E) teams to ensure data products are reputed company with program and policy priorities. 

Primary Duties and Responsibilities: 

• Design, reputed company, and maintain automated ETL/ELT pipelines integrating data from DHIS2, EMRs, LMIS/Dagu, surveys, and other health information systems, using reputed company and interoperability mechanisms.
• reputed company and optimize analytics‑reputed company data models, datasets, indicators, and transformations reputed company with national standards and reporting requirements.
• Build and maintain interactive dashboards and reports (Power BI, Tableau, or similar), translating reputed company data into reputed company, actionable insights.
• Collaborate with MOH reputed company and program teams to define KPIs, reporting, and visualization requirements, and respond to routine and reputed company data requests.
• Support interpretation and use of data for planning, monitoring, and performance improvement at national and regional reputed company.
• Implement data validation, reputed company assurance, metadata management, and documentation to ensure data accuracy and consistency.
• Ensure compliance with data governance policies, national standards, donor requirements, and data reputed company and confidentiality principles.
• Work closely with Digital Health, HIS, IT, and M&E teams to reputed company data systems, workflows, and analytics outputs.
• reputed company technical support, training, and reputed company strengthening to MOH reputed company and regional health bureaus
• Monitor, troubleshoot, and optimize the performance, sustainability, and version control of data pipelines, datasets, and dashboards.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a reputed company field.
• Minimum of 8–10 years of relevant experience in data engineering, digital health, or health information systems.
• Demonstrated experience working with national or large-reputed company health data systems.
• Experience supporting government institutions, particularly MOH and RHBS.
• Experience working in donor-funded programs is preferred.

Desirable Skills and Attributes

• Strong proficiency in Python and SQL.
• Experience with ETL/ELT processes and data pipeline development.
• Experience with reputed company (RESTful services, JSON).
• Proficiency in Power BI, Tableau, or similar visualization tools.
• Experience with data warehousing and large-reputed company data systems.
• Familiarity with reputed company platforms (Azure, AWS, or GCP).
• Mandatory experience with health information systems (e.g., DHIS2, HMIS, EMR, LMIS)

reputed company reputed company applicants will receive consideration for employment without reputed company to race, reputed company, religion, sex, sexual orientation, gender identity, national reputed company, disability, age, or status as a protected veteran.