Data Engineer — ML Pipelines & Analytics (Azure)

MICHAEL PAGE (PERSONNEL) PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

MICHAEL PAGE (PERSONNEL) PTE. LTD. in Singapore seeks a junior data engineer to design, build, and maintain data infrastructure and pipelines supporting analytics and ML initiatives.

You will process, analyze, and visualize large datasets, and create ML models for prediction, classification and clustering using Python, Java, SQL, and Azure Databricks. Fresh graduates are welcome to apply.

Qualifications

• Degree in Computer Science, Data Science, or a related field.
• Fresh graduates are welcome to apply.
• Proficiency with Azure Databricks, Python, Java, SQL and data science tools.

Responsibilities

• Design, build, and maintain data infrastructure and pipelines for analytics and ML.
• Process, analyze, and visualize large datasets to generate insights.
• Create and deploy machine learning models for prediction, classification, and clustering.
• Identify and implement opportunities to automate and optimize data workflows.
• Collaborate with cross-functional teams to deliver data-driven solutions.
• Establish and enforce data governance to maintain data quality.

Skills

Azure Databricks

Python

Java

SQL

Scikit-learn

Pandas

TensorFlow

Spark

Hadoop

Education

Degree in Computer Science or Data Science

Fresh graduates welcome

Job description

MICHAEL PAGE (PERSONNEL) PTE. LTD. in Singapore seeks a junior data engineer to design, build, and maintain data infrastructure and pipelines supporting analytics and ML initiatives.

You will process, analyze, and visualize large datasets, and create ML models for prediction, classification and clustering using Python, Java, SQL, and Azure Databricks. Fresh graduates are welcome to apply.