Job Description
- At least 1 year experiences in Data Engineer / Data Analyst.
- Able to write modular, well-tested, and maintainable code
- Familiar with skills in:
i) Python, Hadoop, Spark, and others ML tools
ii) Shell Script, Linux Configuration
iii) MySQL, NoSQL
- Strong math skills (e.g. statistics, algebra)
- Performing large volumes of data preprocessing that involves data transformation as well as data cleaning.
- Explore new technologies, analytic solutions and using depths of knowledge statistics and various machine learning tools to forecast and classify patterns in the data.
- Increasing the performance and accuracy of machine learning algorithms through fine-tuning and further performance optimization.
- Liaising and work closely with coworkers and clients to elucidate the requirements for each task
- Understanding the requirements of the company and formulating questions that need to be addressed.
- Conduct research for industry and business questions
Job Requirements
- At least 1 year experiences in Data Engineer / Data Analyst.
- Able to write modular, well-tested, and maintainable code
- Familiar with skills in:
i) Python, Hadoop, Spark, and others ML tools
ii) Shell Script, Linux Configuration
iii) MySQL, NoSQL
- Strong math skills (e.g. statistics, algebra)
- Performing large volumes of data preprocessing that involves data transformation as well as data cleaning.
- Explore new technologies, analytic solutions and using depths of knowledge statistics and various machine learning tools to forecast and classify patterns in the data.
- Increasing the performance and accuracy of machine learning algorithms through fine-tuning and further performance optimization.
- Liaising and work closely with coworkers and clients to elucidate the requirements for each task
- Understanding the requirements of the company and formulating questions that need to be addressed.
- Conduct research for industry and business questions
Company Benefits
Fun-Filling Pantry
From tidbits, packet drinks to our favourite childhood snacks, we have it filled in our office pantry!
Hybrid Work Schedule
We believe in working flexibly! You'll find us in office 3 days a week (Mon-Wed). We're working remotely from home on the 2 other days (Thu-Fri).
No Dress Code
Feel free to strut into office in a onesie or tux! We really don't mind as long as you're comfortable and productive to do great work!
Monday Team Breakfast
Get to know other Webqlorians when you join us for breakfast once a month! Start the week right with good conversations. We'll take care of that bill.
Medical Allowance
Health is wealth. You may claim for clinic consultation, medical check up, eye check up and mental health services.
Team Building Activities
Get ready to engage in enjoyable activities outside of office together with other Webqlorians!
Additional Info
Company Activity
Last active - few days ago
Experience Level
0 - 7 Years of Experience