Data Scientist, Data Engineer, Statistical Analysis Side Data

Department: HOT HK
Salary: $23K-30K HKD per month

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RECRUITER SUMMARY

HOT_HK Data Scientist, Data Engineer, Statistical Analysis Side Data, $30K HKD per month

08/01/2024

Candidate Background

Nationality:
Hong Konger
Residence:
Hong Kong
Education:
Information Engineering XXXX, Management and Computer Science XXXX
Languages:
English – Fluent, Cantonese – Native
Experience:
1+ years of experience in the data engineering industry Current & Previous Employers and jobs include: Data Engineer at XXXX, Machine Learning Application Developer at XXXX
Motives:
Is actively looking for a job right now because he believes he has learned enough from current projects. Open for the Data Engineer roles and Machine Learning projects.  
Current Salary:
$23K HKD per month
Expected Salary:
$23K-30K HKD per month
Notice Period:
1 Month
Interview Availability:
Requires a day notice

Interview Assessment Notes

  1. Could you introduce yourself and tell us about you? Your current / recent jobs and employers? Previous companies and jobs?
    He is currently a Data Engineer at XXXX and he is helping the company in delivering several projects to their clients. He is also involved in their data warehouse projects and make some data analytics passes, also some data integration tasks. For skill set, he is using data models in the SQL Server and check data from another operation. Beside this, he had his internship with XXXX as a Machine Learning Application Developer and he is also interested in machine learning domain.
  2. What skill(s) / experience would you self-describe as strongest or specialist in?
    Strongest skill would be on the statistical analysis side, he is good with any kind of data and generating insights for different business to improve or support their business. He is also interested in machine learning projects and roles. Rates himself a 5 out of 5 in statistical analysis since working at XXXX is quite competitive and think he’s good with it.
  3. Do you have the lists of key criteria according to the client’s requirements?
    He did his Bachelor’s in Information Engineering and has over a year of experience as a data engineer. He is knowledgeable with Python, JavaScript, Java, and C++; strongest with Python as of the moment. Experienced with building automated data pipelines and complex mapping across databases. Also knowledgeable with databases and is currently using DBT from IBM and Microsoft SQL Server. He is good with Azure and GCP as well, mostly doing GCP.

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