Data Engineer - Architect

SUMMARY:
The successful applicant will be working within a highly specialized and growing team to enable delivery of data and advanced analytics system capability.

POSITION INFO:

Responsibilities will include:
ï‚· Develop and implement a reusable architecture of data pipelines to make data available for various purposes including Machine Learning (ML), Analytics and Reporting
ï‚· Work collaboratively as part of team engaging with system architects, data scientists and business in a healthcare context
ï‚· Define hardware, tools and software to enable the reusable framework for data sharing and ML model productionization
ï‚· Work comfortably with structured and unstructured data in a variety of different programming languages such as SQL, R, python, Java etc
ï‚· Understanding of distributing programming and advising data scientists on how to optimally structure program code for maximum efficiency
ï‚· Build data solutions that leverage controls to ensure privacy, security, compliance and data quality
ï‚· Understand meta-data management systems and orchestration architecture in the designing of ML/AI pipelines
ï‚· Deep understanding of cutting edge cloud technology and frameworks to enable Data Science

ï‚· System integration skills between Business Intelligence and source transactional
ï‚· Improving overall production landscape as required
ï‚· Define strategies with Data Scientists to monitor models post production
ï‚· Write unit tests and participate in code reviews

Technical skills core:
ï‚· Expert in programming languages such as R, Python, Scala and Java
ï‚· 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
ï‚· Modern Azure datawarehouse skills
ï‚· Expert Unix/Linux admin experience including shell script development
ï‚· Exposure to AI or model development
ï‚· Experience working on large and complex datasets
ï‚· Understanding and application of Big Data and distributed computing principles (Hadoop and MapReduce)
ï‚· ML model optimization skills in a production environment
ï‚· Production environment machine learning and AI
ï‚· DevOps/DataOps and CI/CD experience

Technical skills additional:
ï‚· AWS experience

Professional Qualifications & Experience
ï‚· Honours or Master’s degree in BSc Computer Science
ï‚· Honours or Master’s degree in Engineering or Software Engineering with solid experience in data mining and machine learning
ï‚· Other qualifications will also be considered if accompanied by the relevant experience
ï‚· 5 to 15 years of experience is preferred

NB! This job is now closed. You can apply for other jobs by uploading your CV.