Open role>14 days
Data Engineer (Azure, Spark, Python)
EPAMChina, Suzhou; China, Chengdu; China, Shanghai; China, Guangzhou; China, Shenzhen
- Work model
- Office
- Experience
- 2-5 years
- Employment
- Not specified
- Compensation
- Not disclosed
- Technology signal
- 15 tags
Technology context
15Parsed from the vacancy text; ordered by relevance to this role.
AIAzurePythonKubernetesCloudKafkaDevOpsDockerSparkTerraformDatabricksAutomationSQLAzure Data FactoryData Software Engineering
Full listing
Role description
We are seeking a Data Engineer (Azure) to build and run scalable data pipelines and platforms on Microsoft Azure. You will work hands-on with Azure Data Factory, Azure Databricks and Azure SQL, plus streaming, automation and governance, to deliver reliable data products teams can trust.
Responsibilities
- Design and build batch and streaming data pipelines using Azure Data Factory and Azure Databricks
- Develop and optimize data models and workloads in Azure SQL and cloud data stores
- Implement event-driven data processing with Azure Event Hubs and Kafka
- Automate deployments using Azure DevOps pipelines and Infrastructure as Code
- Containerize services with Docker and run workloads on Azure Kubernetes Service (AKS)
- Implement data governance and lineage with Microsoft Purview
- Monitor platform health, costs and performance using Azure Monitor and logging
- Partner with engineering and product teams to deliver end-to-end data solutions
Requirements
- Proven experience building data pipelines with Azure Data Factory
- Hands-on experience with Azure Databricks for data processing and orchestration
- Strong skills in Azure SQL plus Python and SQL for transformation and automation
- Knowledge of streaming patterns using Azure Event Hubs and/or Kafka
- Experience with Azure Data Lake Storage and Azure Cosmos DB in modern data platforms
- Familiarity with Azure DevOps and Infrastructure as Code (Bicep, Terraform or Azure Resource Manager templates)
- Ability to apply governance and monitoring using Microsoft Purview and Azure Monitor
- Clear communication and collaborative problem-solving in cross-functional teams
Nice to have
- Azure certifications related to data engineering or solution architecture
- Experience with big data architectures and advanced analytics
- Comfort working in agile delivery models and enterprise environments