Data Engineer

Engineering - Software (Information & Communication Technology)

We are an ambitious Data&AI Team committed to delivering exceptional data solutions and services. We are actively seeking a skilled Data Solution Architect to join our team. 

As a Data Solution Architect, you will play a vital role in designing, implementing, and maintaining data models and systems. You will work closely with our data team members to extract insights, solve complex problems, and drive innovation in our data solutions.

Responsibilities: 

• Define policies and establish standards for modelling, structuring, naming, describing, securing, and. formatting data
• Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions
• Lead efforts to implement a reference data and master data management strategy
• Architecting and designing Big Data platforms on cloud platform
• Strong understanding and experience building ELT/ETL solutions for both structured and unstructured data sets.
• Advising clients on latest big data and analytic technologies
• Work with business and IT leadership to define and document the data architecture for enterprise data assets 
• Providing Architecture input to pre-sales activities

Requirements: 

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 
• Minimum of 3 years of professional experience as a Data Engineer/Architect or in a similar role.
• Solid understanding of machine learning algorithms, data structures, and statistical concepts. 
• Experience with data preprocessing, feature engineering, and model evaluation techniques. 
• Excellent problem-solving skills and the ability to work collaboratively in a team environment.
• Proficient in both written and spoken English & Bahasa Melayu

Professional skills/ certificate

• Machine Learning Algorithms: Strong understanding of various machine learning algorithms, such as regression, classification, clustering, and deep learning. Familiarity with both traditional statistical models and modern deep learning architectures. 
• Machine Learning Frameworks and Libraries: Experience with popular machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or Keras. Ability to implement, train, and fine-tune machine learning models using these tools. 
• Model Evaluation and Validation: Proficiency in evaluating machine learning models 
• Data Preprocessing and Feature Engineering: Knowledge of data preprocessing 
• Cloud Platforms and Services: Amazon Web Services (AWS), Microsoft Azure 
• Collaboration and Communication: Strong interpersonal and communication skills

Company information

Registration No.

1359304-U

Your application will include the following questions:

Which of the following statements best describes your right to work in Malaysia?

How many years' experience do you have as a Data Engineer?

Have you worked in a role which requires experience with machine learning?

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