Data Engineer
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
The Successful Applicant
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. What's on Offer
Global exposure and opportunity to work wiht one of the best technologies with industry leadership Contact Jayden Yap (Lic No: R22110369/ EA no: 18C9065) Quote job ref JN-062026-7050463 Phone number +65 6416 9897 Michael Page (Personnel) Pte Ltd | Registration No.201736642C
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
The Successful Applicant
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. What's on Offer
Global exposure and opportunity to work wiht one of the best technologies with industry leadership Contact Jayden Yap (Lic No: R22110369/ EA no: 18C9065) Quote job ref JN-062026-7050463 Phone number +65 6416 9897 Michael Page (Personnel) Pte Ltd | Registration No.201736642C