Health Strat Data Engineer Jobs in Kenya
Health Strat Data Engineer Jobs in Kenya
Health Strat is an indigenous public health organization specializing in designing and implementing innovative health system solutions.
Health Strat implements donor funded programs in HIV/TB/RMNCAH/FP in Kenya, at both the national and county levels.
We are inviting applications from experienced and qualified individuals for the position of Data Engineer.
About the Project:
Monitoring and Evaluation & Strategic Information Systems (MESIS) Project is a project led by Health Strat in partnership with the National and AIDS STI Control Program (NASCOP) through a cooperative agreement with the U.S. Centers for Disease Control and Prevention (CDC).
The project supports enhancing strategic information capacity for HIV/AIDS programs towards sustaining epidemic control in Kenya through monitoring and evaluation (M&E) and data science.
Reporting to the Lead Software Developer, the Data Engineer will offer support in data mining and use of statistical techniques, algorithms, and machine learning principles to identify trends, patterns and insights from raw data from sources that are built on the DHIS2 platform.
S/he will be responsible for creation of algorithms to automate extraction, analysis, and presentation of complex data.
S/he will be responsible for improving efficiency in the presentation of data and insights for end user consumption.
S/he will also be required to translate business requirements into automated solutions using self-service platforms and analytics solutions.
S/he will also be responsible for ensuring the algorithms and the dashboards are operating accurately and in an efficient manner.
Additional data needs may arise occasionally, that are not specific to DHIS2 such as data mining from other sources. As an integral part of HS, the Data Engineer may be expected to meet with stakeholders including donors, and government officials, and draw up requirements based on their needs.
Duties and Responsibilities
Develop training materials, user manuals and train users on system modules and functionalities developed.
Work with existing team members including those in software development projects as required, to determine the appropriate tools, and technologies to be used in data analysis and visualization. This may include database and information system, taking context, existing capacity, and other guiding principles (e.g., open source, already in use in the health sector) into account.
Participate in designing database structure including relational and no-sql databases
Generating information and insights from data sets and identifying trends and patterns
Analysing data for trends and patterns and to find answers to specific questions.
Work with various data sources including web services, API, excel and csv etc.
data sources for business needs
Preparing reports for executive and project teams
Assess quality of data and remove or clean data
Develop, implement, and maintain databases
Collecting structured and unstructured data
Processing, cleansing & verifying of data
Enhancing the data collection process
Building machine learning algorithms
Organising data into usable formats
Sourcing for any missing data.
Setting up data infrastructure.
Create visualisations of data.
Building predictive models.
Bachelor’s degree in in computer science, information systems, technology, data science, business analytics or math focused fields is preferred or equivalent on-the-job experience and personal analytics projects with Minimum 5 years technical experience
At least two years demonstrated experience working with DHIS2, including developing and designing data sets, indicators, data elements and designing custom data entry screens for DHIS2.
Demonstrable experience by working with databases e.g., MySQL, PSQL and MSQL, including writing SQL queries.
Should have Unix/Linux background and needs to be comfortable writing Unix/Linux scripts.
Experience in developing health information systems, databases, and reports.
An understanding of popular tools currently in the health sector such as ODK, Epi Info EMRs (in particular, OpenMRS, KenyaEMR).
Demonstrated ability to perform complex data analytics and visualizations utilizing Microsoft Excel, STATA, Power BI, Tableau.
Experience in use of tools for analytics such as SQL, Alteryx, IDEA, Knime, Power Query.
Experience in use of open-source analytical tools such as Python, R etc.
Proficiency in using query languages across multiple platforms.
Proficiency in use of Microsoft Business Intelligence products.
Working knowledge of SQL, Hadoop and Denodo.
Knowledge of data preparation for AI / ML.
How to Apply
Interested applicants who meet the criteria above should send a cover letter detailing their suitability, a copy of their CV and contact information (name, email address and telephone) for three referees to
email@example.com by 5pm EAT on October 12, 2021.
Applicants are required to include the position title they are applying for on the subject line of the email.
Incomplete applications and applications received after specified deadline will not be considered.
Only shortlisted candidates will be contacted.
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