is accelerating Africa’s transition to a technology and data-driven healthcare sector. We provide a suite of solutions that serve as the digital infrastructure for all healthcare stakeholders in Africa : providers, payers, patients & governments.
The Data Engineer will be responsible for evolving and optimizing our data and data pipeline architecture, as well as, optimizing data flow and collection for multi-functional teams.
You will also be responsible for integrating them with the architecture used across the company.
Translate business and functional requirements into robust, scalable, operable solutions that work well within the overall data architecture
Design, develop, implement, test, document, and operate large-scale, high-volume and low latency applications
Model data and process flows for both live and offline data in a way that maps storage systems to business requirements
Collaborate with data scientists to productize algorithmic prototypes for statistical analysis and machine learning for prediction and clustering
Design data integrations and data quality framework
Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance
Develop and maintain scalable data pipelines and build out new API integrations
Evaluate new technology and advise on our data ecosystem
Champion data governance, security, privacy, quality and retention policies
3 - 5 years' of overall programming / data engineering experience
Advanced SQL skills, and proficient in one or more programming languages such as Python
Familiarity with python data science tooling (pandas, scipy, sklearn)
Demonstrated proficiency with data structures, algorithms, distributed computing, storage systems
Experience with AWS services
Experience with Big Data Technologies
Strong knowledge of data management fundamentals and data storage principles
Experience in working and delivering end-to-end projects independently
Strong written and verbal communication skills across diverse audiences
First Degree in Computer Science or equivalent work experience & analytical skills