Freelance Data Scientist, AWS Alibaba Cloud Python SQL Kafka

Department: HOT HK
Salary: $38K HKD per month

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RECRUITER SUMMARY

HOT_HK Data Scientist, Freelance Data Scientist, AWS Alibaba Cloud Python SQL Kafka, $38K HKD per month

29/02/2024

Candidate Background

Nationality:
Chinese
Residence:
China
Education:
Master of Science in Data Science and Analytics XXXX, Bachelor of Engineering in Wood Science and Engineering XXXX
Languages:
English – Fluent, Cantonese – Basic, Mandarin – Native
Experience:
5+ years of experience in the industry Current & Previous Employers and jobs include: Freelance Data Scientist at XXXX, Data Engineer at XXXX, Data Engineer at XXXX, Junior Data Analyst at XXXX
Motives:
Is actively looking for a job right now because currently doing freelancing. Open for the data engineer role.  
Current Salary:
$35K HKD per month
Expected Salary:
$38K HKD per month
Notice Period:
2 Weeks
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 started off as a Data Analyst for XXXX where he applies data into enterprise label and needs to ingest data from different data sources and transform data from unconstructed data/semi constructed data to unify the report. After that, he joined XXXX as a Data Engineer where he was involved with ETL pipelines, build data warehouse, and maintain a streaming pipeline using Kafka. He pursued his Masters in Hong Kong and stayed there after graduation since he found HK a very diverse environment. He joined then XXXX where he was responsible for the development and implementation of data warehouse, data lake, and also business intelligence. After XXXX, he went back to China and did freelance data science for XXXX; he’s also doing data warehouse, machine learning, and deep learning jobs.
  2. What skill(s) / experience would you self-describe as strongest or specialist in?
    Strongest skill would be in the data engineering side since he have 4-5+ years of experience in it already as well as data analytics. His main tech stack is AWS, Alibaba Cloud, in the engineering side, he can build data pipeline, platform, and also good with Python, SQL, Kafka, Hadoop, and PySpark. Rates himself a 4 out of 5 in general when it comes to data engineering.  
  3. Do you have the lists of key criteria’s according to the clients’ requirements?
    Has 5+ years of experience in the data engineering industry. Strong with Python and Java, and is familiar with SQL, PostgreSQL, NoSQL, MongoDB, and ElasticSearch. Familiar with AWS, Azure, and AliCloud. Also proficient with building automated data pipelines and mapping across databases.

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