Job Description
7 days ago
We are looking for one or more Python Developers - Data Analytics to join our team to to work on large-scale data projects for a leading global financial institution. The ideal candidate will have experience in Python programming, data science, and handling both structured and unstructured data. Familiarity with flow control tools such as Apache Airflow is a plus.
Location: Science Park Innocenter, Kowloon Tong (pending approval); Applicants for positions in Futian, Shenzhen are also welcome to submit CVs
Job Type: Full-Time (open to Part-Timers for Final Year Undergrads or Postgraduate Students with Relevant Industry Experience)
Responsibilities:
• Develop, maintain, and optimize Python applications for data processing and analysis.
• Manage and process large-scale databases, ensuring efficient storage and retrieval of data.
• Perform data cleaning, statistical analysis, and develop predictive models.
• Collaborate with cross-functional teams to integrate data solutions and support business objectives.
• Optimize data workflows and processes for performance, scalability, and reliability.
• Utilize tools like Apache Airflow to manage and automate complex data workflows.
Qualifications:
• Proficiency in Python and the common data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Experience with large-scale databases (SQL and NoSQL).
• Familiarity with data visualization tools (e.g., Matplotlib).
• Experience with flow control tools such as Apache Airflow a plus.
• Relevant technical degree and experience in performing data analytics coding in Python.
• Strong analytical and problem-solving skills.
• Ability to work independently and as part of a team.
Please specify in your application whether you have existing eligibility for gainful employment in Hong Kong or Singapore, whether a visa is needed.
Job Types: Full-time, Part-time
Pay: $15,801.67 - $39,443.56 per month
Location: Science Park Innocenter, Kowloon Tong (pending approval); Applicants for positions in Futian, Shenzhen are also welcome to submit CVs
Job Type: Full-Time (open to Part-Timers for Final Year Undergrads or Postgraduate Students with Relevant Industry Experience)
Responsibilities:
• Develop, maintain, and optimize Python applications for data processing and analysis.
• Manage and process large-scale databases, ensuring efficient storage and retrieval of data.
• Perform data cleaning, statistical analysis, and develop predictive models.
• Collaborate with cross-functional teams to integrate data solutions and support business objectives.
• Optimize data workflows and processes for performance, scalability, and reliability.
• Utilize tools like Apache Airflow to manage and automate complex data workflows.
Qualifications:
• Proficiency in Python and the common data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Experience with large-scale databases (SQL and NoSQL).
• Familiarity with data visualization tools (e.g., Matplotlib).
• Experience with flow control tools such as Apache Airflow a plus.
• Relevant technical degree and experience in performing data analytics coding in Python.
• Strong analytical and problem-solving skills.
• Ability to work independently and as part of a team.
Please specify in your application whether you have existing eligibility for gainful employment in Hong Kong or Singapore, whether a visa is needed.
Job Types: Full-time, Part-time
Pay: $15,801.67 - $39,443.56 per month
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