As a Databricks Data Engineer, you will be responsible for :
- Technical Requirements Gathering and Development of Functional Specifications.
- Design, develop, and maintain scalable data pipelines and ETL processes using Azure Databricks, Data Factory, and other Azure services.
- Implement and optimize Spark jobs, data transformations, and data processing workflows in Databricks.
- Develop and integrate custom machine learning models using Azure Machine Learning, MLflow, and other relevant libraries.
- Leverage Azure DevOps and CI / CD best practices to automate the deployment and management of data pipelines and infrastructure.
- Conducting troubleshooting on data models.
- Work with the Agile multicultural teams in Asia, the EU, Canada, and the Requirements :
For this position as Databricks Data Engineer, we are looking for someone with :
(Required) At least 6 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 CICD 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., TensorFlow, PyTorch, Scikit-learn, MLflow)(Required) Strong problem-solving, communication, and analytical skills.Willingness to learn and expand technical skills in other areas.(ref : hirist.tech)