Data Engineer

2 days ago

Kuala Lumpur, Kuala Lumpur, Malaysia Two95 International Full time 80,000 - 120,000 per year

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

DATA ENGINEER - IT with Extensive experience in "Healthcare ".

With Minimum Experience - 3 years & Maximun 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 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
  • Define strategies with Data Scientists to monitor models post production
  • Write unit tests and participate in code reviews

Improving overall production landscape as required

Requirements
  • 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 datawarehouse 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

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