Azure Data Engineer
Quick Overview
Job Description
Azure Data Engineer
Location: Charlotte, NC (Hybrid)
Employment Type: W2 Only
Experience: 10+ Years
Job Summary
STAFFXPERT LLC is seeking an Azure Data Engineer on behalf of our client in Charlotte, NC. We are looking for an experienced data engineering professional with strong expertise in Microsoft Azure cloud technologies, modern data platforms, and ETL/ELT development. The ideal candidate will have a proven track record of designing, developing, and optimizing scalable data solutions in a hybrid cloud environment.
Key Responsibilities
Design, develop, and maintain scalable data pipelines using Azure cloud technologies.
Build and optimize ETL/ELT processes for enterprise data integration.
Develop and manage Azure Data Factory (ADF) workflows and Azure Data Lake Gen2 solutions.
Work with Azure Databricks, Azure Functions, and Azure databases to support data engineering initiatives.
Integrate APIs and manage API Gateway solutions.
Develop data services using Python frameworks such as FastAPI.
Optimize SQL queries and work with both relational and NoSQL databases.
Implement CI/CD pipelines using Git, Jenkins, and DevOps best practices.
Collaborate with cross-functional teams to deliver secure, high-quality data solutions.
Required Qualifications
10+ years of experience as a Data Engineer.
Strong hands-on experience with Microsoft Azure Cloud services.
Expertise in:
Azure Data Factory (ADF)
Azure Data Lake Gen2
Azure Databricks
Azure Functions
Azure Databases
Azure Data Fabric
API Gateway Management
Strong SQL skills with experience in RDBMS and NoSQL databases.
Experience with Python frameworks such as FastAPI.
Strong background in ETL/ELT development.
Experience with CI/CD tools including Git and Jenkins.
Ability to work in a hybrid environment in Charlotte, NC.
Must be authorized to work on W2.
Preferred Qualifications
Experience in the Financial Services domain.
Local candidates or candidates willing to relocate to the Charlotte, NC area are preferred.
Ability to attend in-person interviews as required.
Skills
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