Azure Data Engineer C2C requirements
Azure Data Engineer (Databricks)
100% Remote
Must have active Databricks Certification and Healthcare client experience,
Max rate $45/hr on c2c
We are looking for a hands-on Azure Data Engineer with strong Databricks and .NET experience to build and optimize scalable data solutions on Microsoft Azure.
This role is ideal for someone who can seamlessly blend data engineering with application development, integrating Databricks pipelines with .NET-based APIs and Azure cloud services.
About the Role:
Key Responsibilities:
Design and develop ETL pipelines using Azure Databricks, Spark, and Azure Data Factory (ADF)
Build and integrate .NET Core / C# applications, REST APIs, and Azure Functions
Optimize Delta Lake tables, data models, and Databricks notebooks
Collaborate with cross-functional teams to deliver scalable data solutions
Implement CI/CD pipelines using Azure DevOps and follow best development practices
Required Skills:
8+ years of experience in Data Engineering or Software Development
Strong expertise in Azure Databricks, Spark (PySpark/Spark SQL), and ADF
Proven experience with .NET Core / C#, REST APIs, Azure Functions
Good understanding of Azure Data Lake, Synapse Analytics, Delta Lake
Hands-on experience with Azure DevOps, Git, and CI/CD
To apply for this job email your details to venkatesh.kulkarni@centstone.com