Urgent! Data Engineer Job Opening In Malaysia, Malaysia – Now Hiring WhiteCoat
WhiteCoat is a Singapore-headquartered omnichannel provider of integrated health and wellness services that serves as the first and single touchpoint for all care needs in Southeast Asia.
Since launching in 2018, WhiteCoat’s digital platform powers a wide range of services including tele- and in-person consultations, as well as medication fulfilment and diagnostic testing, across primary, specialist and allied care.
With a focus on the B2B space, WhiteCoat has forged strategic partnerships with the region’s leading insurers, corporates and care providers, to provide accessible and affordable high-quality care to its users.
The Group currently has offices in Singapore, Indonesia, Malaysia and Vietnam.
For more information on WhiteCoat, please visit .
We are seeking a talented and motivated Data Engineer to join our dynamic team.
As a Data Engineer, you will play a key role in for designing, developing, and maintaining data pipelines and architectures to support data analysis and machine learning initiatives.
Working closely with data scientists, analysts, and other stakeholders to ensure that data is collected, processed, and stored efficiently and accurately.
We offer you the opportunity to be part of a multi-functional and dynamic team.
Joining us should appeal to you not just because we respect and value our employees but because we are a place where passion and dedication are rewarded with opportunities for professional and personal growth.
Key Responsibilities:
Architect and design data infrastructure on cloud
Design and build resilient and efficient data pipelines for both batch and real-time streaming data
Assemble and collect data sets that meet functional and non-functional business requirements
Identify, design & implement internal process improvements, automating manual processes optimizing data delivery, infrastructure for greater scalability
Build the infrastructure required for optimal extraction, transformation and loading of data from a variety of sources using SQL, APIs and cloud services technologies.
Build tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
Build tools for analytics and data team member that assist in building and optimizing the product into an innovative leader
Work with data and analytics experts to strive for greater functionality in our data lake, systems and ML/Feature Engineering for AI solutions
Work with cross-functional departments to understand their data needs and requirements and build tools to assist them with their analytics tools
Additional responsibilities and tasks assigned by management from time to time.
Make a Real Impact: Opportunity to contribute to a leading digital health company's rapid growth.
Fast-paced Start-up Environment: Experience an environment where you get to own and make tangible impact without bureaucracy getting in the way of rapid decision-making.
Great Team: Collaborate with intelligent, friendly, and supportive professionals from diverse backgrounds.
Hands-on Learning & Growth: Gain hands-on experience in strategy, partnerships, operations, and product innovation within a growing industry.
Competitive Compensation & Benefits: Competitive compensation and performance-based bonus.
If you believe you have what it takes for this role, click ‘Apply’ and join us on our journey to make a positive impact on the lives of people through innovative healthcare solutions!
Minimum 3 years of relevant experience
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
Proficiency in programming languages such as Python, Java, or SQL.
Experience with data processing frameworks and technologies
Strong understanding of database concepts and experience with relational
Knowledge of data modelling and familiarity with cloud platforms and services
Excellent problem-solving skills, attention to detail, and ability to work independently as well as part of a team.
Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical stakeholders.
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Unlock Your Data Engineer Potential: Insight & Career Growth Guide
Real-time Data Engineer Jobs Trends in Malaysia, Malaysia (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineer in Malaysia, Malaysia using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 18726 jobs in Malaysia and 1693 jobs in Malaysia. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! WhiteCoat is currently hiring and seeking a Data Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Engineer Jobs Malaysia.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at WhiteCoat adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer Jobs Malaysia varies, but the pay scale is rated "Standard" in Malaysia. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Engineer interview at WhiteCoat, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the WhiteCoat's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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