Job description

Client Description

Leading and well-known engineering solutions conglomerate


Job Description
  • Source, cleanse and consolidate data from different electrical and mechanical systems, forming the big data infrastructure through cloud services such as AWS, Azure or GCP
  • Conduct data analysis of large transaction data sets and data preparation for visualization or analytics/modelling
  • Assist in developing machine learning model through Python to optimize energy and chemical usage in electrical and mechanical system

Job Requirements
  • Degree holder preferably in Computer Science, Physics, Electronic, Math and Statistics or related discipline
  • 1 to 3 years of experience in Data or Business Intelligence Domain, data pipeline and software development
  • Experience in collecting, relating, preparing and modelling data from disparate sources for reporting & analysis
  • Must have Python programming experience in previous projects/jobs
  • Experience in ETL/ELT process and big data framework such as Hadoop, Spark
  • Experience in Kubernetes / Docker / Java / SQL
  • Experience in cloud services, AWS, Azure or GCP certified will be an advantage
  • Experience in machine learning / Pandas / Numpy / sklearn will be an advantage

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