Databricks Data Engineer; WFH

Position: Databricks Data Engineer (WFH 100%)
Job Introduction

We are seeking a skilled Azure Databricks Data Engineer to join our data engineering team. The ideal candidate will have hands-on experience designing and maintaining scalable data pipelines using Azure Databricks and Data Factory, strong technical skills in Python and SQL, and familiarity with machine learning concepts. This role requires a proactive, solution-oriented professional who can collaborate effectively with multicultural teams and contribute to high-quality data solutions .

Job Description

As an Azure Databricks Data Engineer, your responsibilities include:

Technical Requirements Gathering and Development of Functional Specifications.
Designing, developing, and maintaining scalable data pipelines and ETL processes using Azure Databricks, Data Factory, and other Azure services.
Implementing and optimizing Spark jobs, data transformations, and data processing workflows in Databricks.
Developing and integrating custom machine learning models using Azure Machine Learning, MLflow, and other relevant libraries.
Leveraging Azure Dev Ops and CI/CD best practices to automate the deployment and management of data pipelines and infrastructure.
Conducting troubleshooting on data models.
Working with Agile multicultural teams in Asia, the EU, Canada, and the USA.

Profile Requirements

For this position of Azure Databricks Data Engineer, we are looking for someone with:
(Required) At least 5 years of experience in developing and maintaining data pipelines using Azure Databricks, Azure Data Factory, and Spark.
(Required) Hands-on experience with Unity Catalog.
(Required) Fluent English communication and soft skills.
(Required) Knowledge and experience in CI/CD using tools such as Terraform, ARM, and Bicep Script.
(Required) Solid technical skills in Python and SQL.
(Required) Familiarity with machine learning concepts, tools, and libraries (e.g., Tensor Flow, PyTorch, Scikit-learn, MLflow).
(Required) Strong problem-solving, communication, and analytical skills.
(Optional) Willingness to learn and expand technical skills in other areas.