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Data Engineer (SQL)
  • Python
  • SQL
  • Linux
  • Database
  • ETL
  • Hadoop
Experis
Singapore
160 days ago

Job Scope

  • Enhance the capability to design, build and maintain data pipelines to produce ready-to-use datasets in tabular format to data consumers
  • Actively partner with the business to model datasets from various business domains
  • Provide quality datasets in a timely fashion to downstream needs - data analysts, applications, reporting representatives

Skillsets Areas

  • At least a Diploma/Degree with 2 years of hands-on experience in designing ETL, data warehouse or data lake
  • Able to perform data preparation tasks - data fusion, cleansing, masking, augmentation in either SQL/ Python and load into databases. Advantageous if experience is on: MS SQL Server and MongoDB.
  • Configuring and using Hadoop ecosystem software components.
  • Experience in the following area will be an added advantage:
  • Use version control tools like Git
  • Understand and implement RESTful API
  • Able to perform basic server administration tasks on Windows and Linux

Claudia Kueh Kee Jinq EA License No.: 02C3423 Personnel Registration No.:R1880247

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