Data Systems Engineer

CeSHHAR Zimbabwe is an organisation that specialises in population health research and programming, including on sexual and reproductive health and HIV/AIDS. CeSHHAR has an extensive national, regional, and international academic and community partnership network. CeSHHAR has a diverse range of funders which include the Wellcome Trust, the Gates Foundation, UK Medical Research Council, Templeton World Charity Foundation, Global Fund for AIDS TB and Malaria, UNICEF and UNFPA. We partner very closely with the Liverpool School of Tropical Medicine (UK). CeSHHAR is implementing a National Key Population programme on behalf of National AIDS Council and Ministry of Health and Child Care in all 10 provinces in Zimbabwe.Reporting to the Full Stack Engineer -The Data Systems Engineer will be responsible for designing, developing, and maintaining data processing systems and infrastructure. They will also provide in-house technical expertise on data engineering to ensure the smooth implementation and maintenance of the data warehouse, successful data migration, data security and other related tasks in accordance with the Software Requirements Specification recommendations.

Duties and Responsibilities

• Conduct source system and data quality analysis
• Manage changes and create supporting documentation for applications
• Define metrics to determine usage and effectiveness
• Develop approaches to extract metrics from data structures
• Design and build scalable data pipelines and infrastructure to support effective data analysis and decision making
• Work with stakeholders, including users, MIS to support data infrastructure needs
• Assist with data-related technical issues and provide guidance on data systems

Qualifications and Experience

Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field with at least 3 years’ experience in a similar position, master’s degree in data Engineering an added advantage, , Proficiency in SQL,Airbyte,ClickHouse,dbt,Superset,Directus and other data engineering tools and techniques, Previous experience in data engineering including developing ETL/ELT pipelines and deploying Business Intelligence tools, Familiarity with modern data engineering tools e.g., columnar databases, DBT, medallion schemas etc ,experience in data modelling, data optimization tools and data engineering cycle, strong analytical skills and problem-solving abilities. Demonstrated effective verbal, written and technical communication, good knowledge on use of automated software development and testing tools, Good interpersonal communication skills and having high respect for confidentiality.