Data Engineer

Helium Health 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.

Responsibilities:

• 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

Requirement:

• 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