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Big Data System Engineer

Vanguard Business Services Limited

  • Company Industries:General Business Services

Job Information

  • Post Date:2019-05-27
  • Career Level:Middle
  • Location:Quarry Bay
  • Yr(s) of Exp:4 years
  • Qualification:Degree
  • Salary:HK$25,000 - 30,000 /month
  • Employment Type:Contract, Full Time
  • Job Function:Hardware
  • Benefits:Dental insurance, Five-day work week, Medical insurance

Job Description

Our  client an IT Solutions company is seeking a Big Data System Engineer 

Qualifications: 

 

  • Degree in Computer Science or Engineering or related discipline
  • Strong experience in working with large data sets, building data products incrementally and integrating and managing datasets from multiple sources
  • Experienced with Hadoop or other big data /object storage technologies is a must
  • Capable of planning and executing on both short-term and long-term goals individually and with the team
  • Problem solver with excellent communication skills with ability to make sound complex decisions in a fast-paced, technical environment

 

 Responsibilities: 

  •  Work with engineering, data science and product management teams to build and manage a wide variety of data sets
  • Partner with business teams and stakeholders across the organization to understand their data and analytics needs and design/publish dashboards and reporting that allow them to execute more effectively
  • Run ad-hoc queries & exploratory data analyses that lead to actionable insights and/or forms basis for advanced analytical experiments
  • Automate data processes; simplify and democratize access to useable data throughout the company
  • Build data models & ETL pipelines for getting, processing, and delivering data that will make the company more data driven 

 

Company Info

Vanguard Business Services is a professional employer organization providing human       resource services, co-employment service and payroll processing services.

 Vanguard's unique services and solutions relief our customers from burden of employment administration and improve employment practices, compliance and risk management to reduce employer-related liability. 

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