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Imagine a world where people live healthier, more enhanced and protected lives… A world in which each organisation is a powerful influencer and responsible corporate citizen, committed to being a force for social good. As a leading innovator in healthcare, wellness, insurance, investments, financial and life planning, Discovery works ceaselessly to...
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What is the role
In the Discovery Health Data Science unit, our core purpose is “creating intelligence for a healthier tomorrow” by leveraging Discovery’s vast data to drive valuable insights to improve both clinical and operational environments. Key to our purpose is obtaining and structuring quality data, leveraging cutting edge analytical innovations and delivering actionable insights in a sustainable and meaningful way. We leverage an integrated, collaborative, and multidisciplinary approach to ensure our objectives and goals are met.
The role entails architecting the data platform layer, data cleansing layer, reporting and analytical layers within a cloud environment. Work closely with Data Scientists to understand model features and link back to transactional environment to understand data quality, data relationships and data availability. Document and define frameworks with the Data Engineer to build the data platform. Together these teams will enable data driven actionable insights. The role may include international exposure with Discovery partnerships.
What you will do
The successful applicant will be working within a highly specialized and growing team to enable delivery of data and advanced analytics system capability.
Responsibilities will include:
Provide Data Architecture (DA) support for the Data Engineering team
Define DA for the Data Science teams and participate in review and walk-through sessions for model fit and model producionization
Assist with the definition of custom meta data models for ELT/ETL
Direct data automation capabilities with the Data Engineer and Data Scientist
Profile new data sources in a variety of formats including Json, XML, etc
Define data quality rules with Data Scientists to clean data
Define data mapping and transformation rules between source and datawarehouse
Work closely with Data Engineer to facilitate Data Governance including access and security control
Expert documentation of DA for new data sources, metadata and productionized information flow
What skills you will need
Technical skills core:
Programming in R, Python
Expert database knowledge in SQL and experience with MS Azure
Modern Azure datawarehouse design skills
Exceptional data modelling skills ie physical, dimensional and relational 3N forms
Experience working on large and complex datasets
DevOps/DataOps and CI/CD experience
Strong communicator verbally and in writing
Technical skills additional:
AWS experience
Behavioural skills:
Strong leader
A passion for data
Highly analytical and critical thinker
Self-starter
Willingness to learn and grow exponentially
A restless curiosity in learning new technology
Ability to work cohesively in a team environment and balance multiple priorities
A team player who can work alone when required and without supervision
High level of attention to detail, resilience, enthusiasm, energy and drive
Positive, can-do attitude
Ethical and able to maintain confidentiality and manage boundaries
Aligned to Discovery values and core purpose
Professional Qualifications & Experience
Honours or Master’s degree in BSc Computer Science
Honours or Master’s degree in Engineering or Software Engineering with solid experience in data mining and machine learning
Other qualifications will also be considered if accompanied by the relevant experience
5 to 15 years of experience is preferred
EMPLOYMENT EQUITY
The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.
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