ABOUT US:

We develop comprehensive software products and solutions ranging from IT consultancy to infrastructure and hardware setup to optimise customers’ experiences. To establish ourselves as a leading provider of applications and healthcare support services for the Asian market, and partner healthcare customers to build a safe medical environment for all.
We are driven by our group philosophy as defined below:
1. Provide the best to our customers through a service-oriented culture
2. Create new value through innovation
3. Realise greater possibilities through advanced technology

REQUIREMENTS:

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.
• Basic programming skills in Python, SQL, or Java.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Understanding of databases (e.g., MySQL, PostgreSQL) and basic cloud platforms (e.g., AWS, Google Cloud).
• Awareness of analytics and predictive modeling concepts is highly advantageous. Strong analytical and problem-solving abilities.
• Excellent communication and teamwork skills.
• Eagerness to learn and adapt in a fast-paced environment.
  Job Type: Full-time
  Pay: $3,000.00 - $4,000.00 per month

Benefits:

• Additional leave
• Parental leave
• Professional development
• Work from home

Schedule:

• Monday to Friday

Supplemental Pay:

• 13th month salary
• Performance bonus
• Yearly bonus

Education:

• Bachelor’s or equivalent (Preferred)

Experience:

• Big data: 1 year (Preferred)

Work Location: Hybrid remote in Singapore 31899

• Gain hands-on experience with tools and frameworks used in analytics and predictive modelling.
• Stay updated with industry trends and best practices in data engineering and AI.
• Contribute to the setup and optimization of data storage solutions, such as data lakes and warehouses.
• Monitor data systems to ensure accuracy, performance, and reliability.
• Perform data validation and cleaning to ensure accuracy and consistency
• Identify and resolve data issues under the guidance of senior team members
• Support data processing tasks to enable advanced analytics and predictive solutions
• Assist in building and maintaining data pipelines for data extraction, transformation, and loading (ETL/ELT).
• Support integration of data from multiple sources into centralized systems.