Data Engineer

Hiring Local Malaysians only - CONTRACT JOB - 12 MONTHS (EXTENDABLE)

DATA ENGINEER - IT with Extensive experience in Healthcare.

With Minimum Experience - 3 years & Maximum Experience - 15 years

Core responsibilities include:

• 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 a 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 distributed 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 metadata 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 systems.
• Define strategies with Data Scientists to monitor models post production.
• Write unit tests and participate in code reviews.

Improving overall production landscape as required:

• Honours or Master’s degree in BSc Computer Science or Engineering or Software Engineering with solid experience in data mining and machine learning.
• 5 to 15 years of work experience.
• Expert in programming languages such as R, Python, Scala, and Java.
• 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.
• Exposure to AI or model development.
• Experience working on large and complex datasets.
• Understanding and application of Big Data and distributed computing principles (Hadoop and MapReduce).
• ML model optimization skills in a production environment.
• Production environment machine learning and AI.
• DevOps/DataOps and CI/CD experience.
• AWS experience.