Data Engineer
Summary
Build and maintain data pipelines, warehouses, and ML models on Azure Databricks using Python, Spark, and TensorFlow to power analytics and predictions for a global logistics firm.
- Innovative Technology and Industry Leadership
- Global Exposure and Career Development About Our Client Global logistics company, recognized as one of the largest container carriers in Asia, with a strong presence across Southeast Asia, China, the Middle East, Africa, and Latin America. Job Description
- Design, build, and maintain data infrastructure and pipelines to support analytics and machine learning initiatives
- Process, analyze, and visualize large datasets to generate meaningful insights across various platforms
- Create and deploy machine learning models for tasks such as prediction, classification, and clustering
- Identify and implement opportunities to automate and optimize data-related workflow
- Work closely with cross-functional teams to deliver data-driven solutions that support business objectives
- Establish and enforce data governance frameworks to maintain data accuracy, consistency, and quality
- Degree in Computer Science, Data Science, or a related field
- Fresh graduates are welcome to apply.
- Proficient in Azure Databricks and languages such as Python, JAVA, SQL, and experience with data science and engineering frameworks such as Scikit-learn, Pandas, Tensorflow, Spark, Hadoop, etc.
- Basic understanding of data warehousing and data management concepts.
- Basic knowledge in building and deploying scalable data pipelines using modern data engineering techniques and tools.
- Basic understanding of statistical modeling, machine learning algorithms, and data mining techniques.