Data Scientist, Data Engineer, Communication Python Programming

Department: HOT HK
Salary: $31K HKD per month

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RECRUITER SUMMARY

HOT_HK Data Scientist, Data Engineer, Communication Python Programming, $31K HKD per month

22/01/2024

Candidate Background

Nationality:
Hong Konger
Residence:
Hong Kong
Education:
Bachelor’ degree, Information Technology XXXX
Languages:
English – Fluent, Mandarin – Fluent, Cantonese – Native
Experience:
2+ years of experience in the Data industry Current & Previous Employers and jobs include: Data Engineer at XXXX, Data Engineer at XXXX, Data Engineer at XXXX
Motives:
Is actively looking for a job right now because wants more experience since currently just doing repetitive jobs. Open for the Data Engineer role.    
Current Salary:
$25K HKD per month
Expected Salary:
$31K 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?
    Have been working for about 2 years as a Data Engineer, first year with XXXX was more focused on SQL and database stuff. He has also worked with XXXX as a Data Engineer doing ETL jobs, cleansing and enhancing data quality. Currently working with XXXX, where he’s involved with Python, AWS, and more of cloud services. He is responsible for cloud migration using AWS and even GCP. Currently, he is working on fixing DataStage daily and do cloud migration from Informatica data to AWS.
  2. What skill(s) / experience would you self-describe as strongest or specialist in?
    Strongest skill would be programming especially Python, has been using this for 2 years now and rates himself a 3.5-4 out of 5 in it. He also considers himself strong with communication since he is always able to ask questions and get solutions from their problems with his great communication skills.  
  3. Do you have the lists of key criteria according to the client’s requirements?
    Has about 2+ years of experience in data engineering and has strong knowledge of Python. Currently also doing and building automated data pipelines and mapping across databases; he’s mostly familiar with SQL, MySQL, Oracle, and MongoDB. He is also knowledgeable with cloud services such as AWS and GCP.

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