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Discovery Corporate & Employee Benefits Data Engineer (Junior)

About Discovery

Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.

Benefits

About Discovery Corporate & Employee Benefits

Discovery Corporate and Employee Benefits is the first and only employee benefits provider to shape employee behaviour, creating healthier and wealthier workforces. It is an exciting business to be in as we reimagine the way retirement savings and life insurance are brought to companies and employees.

Key Purpose

The role entails building a reusable sustainable framework to ensure collection, processing, and availability of high-quality health care data to enable us to achieve the core purpose. The Data Engineer will work collaboratively with the Program Managers, Data Scientists, Systems Architects to define data sources and to build a custom data framework that facilitates Machine Learning, AI and productionising AI models based on the principles of ETL/ELT. Together these teams will enable data driven actionable insights.

Areas of responsibility may include but not limited to

Work within a highly specialized and growing team to enable delivery of data and advanced analytics system capability.
Develop and implement a reusable architecture of data pipelines to make data available for various purposes including Machine Learning (ML), Analytics and Reporting
Work collaboratively as part of team engaging with system architects, data scientists and business in a healthcare context
Define hardware, tools, and software to enable the reusable framework for data sharing and ML model productionization
Work comfortably with structured and unstructured data in a variety of different programming languages such as SQL, R, python, Java etc
Understanding of distributing programming and advising data scientists on how to optimally structure program code for maximum efficiency
Build data solutions that leverage controls to ensure privacy, security, compliance, and data quality
Understand meta-data management systems and orchestration architecture in the designing of ML/AI pipelines
Deep understanding of cutting-edge cloud technology and frameworks to enable Data Science
System integration skills between Business Intelligence and source transactional
Improving overall production landscape as required
Define strategies with Data Scientists to monitor model’s postproduction
Write unit tests and participate in code reviews

Personal Attributes And Skills

Exceptional analytical, conceptual thinking and problem solving skills
Excellent oral and written communication skills.
Ability to understand entity-relationship diagrams, normalized and de-normalized structures
Excellent planning, organizational, and time management skills
Scope and size BI initiatives.
Work breakdown management
Coach and co-ordinate team members
Data manipulation, storytelling, and visualization
Experience in Excel Pivot

Education And Experience

Honours or Master’s degree in BSc Computer Science specialising in Data Science or Data Engineering (Honours or Master’s), IT degree, Data Engineering or related.
Experience in data pipelines, data modelling and machine learning (advantageous).
3 - 5 years working experience.
A working knowledge of the Operations environment throughout Employee Benefits – Compass or Sonata (advantageous).
Expert in programming languages such as MS SQL, Oracle PL\SQL, DAX, MQL, SSIS, (Mongo Query Language) and (R, Python, Scala,.Net or Java).
Essential skills required (MS SQL, Oracle PL\SQL, DAX, MQL).
Expert database knowledge in SQL and experience with MS Azure tools such as Data Factory, Synapse Analytics, Data Lake, Databricks, Azure stream analytics and PowerBI.
Modern Azure data warehouse skills.
Expert Unix/Linux admin experience including shell script development (Not essential).
Exposure to AI or Data modelling development.
Experience working on OLTP systems.
Experience working on large and complex datasets.
Understanding and application of Big Data and distributed computing principles (Azure Data Lake, Azure Databricks, Azure Synapse Analytics, Azure HDInsight and Azure Synapse Analytics).
Data and ML model optimization skills in a production environment.
Production environment machine learning and AI (advantageous).
DevOps / DataOps and CI/CD experience (essential).
AWS experience (advantageous).

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.

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.

Discovery Limited

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Data Engineer (Junior)