Data Engineer jobs in Malaysia

• Work in exciting new projects with new technologies
• Opportunity to work in cross functional international teams

The hiring company is a large organization within the industrial/manufacturing industry. It is committed to innovation and utilizing advanced technologies to enhance its operations and deliver exceptional results.

• Analyze large datasets to identify patterns, trends, and actionable insights.
• Develop and implement predictive models and machine learning algorithms.
• Collaborate with cross-functional teams to understand business needs and translate them into data solutions.
• Present findings and recommendations to stakeholders in a clear and impactful manner.
• Maintain and optimize existing data pipelines and systems.
• Ensure data quality and accuracy through robust validation processes.
• Research and apply the latest technologies and methodologies in data science.
• Support decision-making processes with advanced data analytics.
• Analyze complex datasets to uncover actionable insights and trends.
• Develop and implement machine learning models to solve business challenges.
• Collaborate with cross-functional teams to identify data-driven solutions.
• Create data visualizations and dashboards to communicate findings effectively.
• Ensure data quality and integrity throughout the analysis process.
• Provide technical expertise to enhance data processing and analytics systems.
• Document processes, methodologies, and results for future reference.
• Stay updated on the latest trends and advancements in data science and technology.
• Requirements analysis and customer consulting for analytics topics.
• Identification, extraction, transformation and loading of data.
• Storing data in relational, multidimensional, and NoSQL databases or data lakes both on-premises and in the cloud.
• Modelling of data according to common methods for further processing.
• Testing and quality assurance of data.
• Use of source control and CI/CD processes.
• Analyse linking of data using SQL, statistics, and data science to generate new insights.
• Visualize data taking into account best practices such as information design with popular reporting and dashboarding systems.
• Provide data through file sharing or REST APIs.
• Creation of data architectures based on public cloud services
• Collaboration in agile projects.

A successful Data Scientist should have:

• A degree in Data Science, Computer Science, Statistics, or a related field.
• Strong knowledge of programming languages such as Python or R.
• Experience with data visualization tools and techniques.
• Proficiency in handling large datasets and working with databases.
• Understanding of machine learning models and statistical methods.
• An analytical mindset with excellent problem-solving skills.
• Ability to work collaboratively in a team environment.

• Contract: 1 year
• Medical Benefits
• Opportunities to work with cutting-edge technologies in the industrial/manufacturing sector.
• Collaborative and innovative work culture.

If you are passionate about data and innovation, apply now to take the next step in your career as a Data Scientist!