Job Title: Azure Data Engineer - Python to ADF Migration (Contract)
Location: Remote
Duration: Temporary / Contract
Experience: 5+ Years
Job Overview
We are looking for an experienced Azure Data Engineer for a temporary engagement to support the migration of legacy Python-based development into Azure Data Factory (ADF) pipelines. The candidate will play a key role in converting existing routines into scalable and maintainable ADF workflows while ensuring seamless integration with enterprise data platforms.
Key Responsibilities
- Migrate and convert legacy Python-based data processing routines into Azure Data Factory (ADF) pipelines.
- Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory.
- Work with data sources including SQL Server and Oracle databases (OCI).
- Ensure data pipelines are optimized for performance, reliability, and scalability.
- Collaborate with development and data teams to understand existing workflows and translate them into ADF-based solutions.
- Utilize Azure DevOps for version control, deployment, and pipeline automation.
- Troubleshoot and resolve issues related to data integration and pipeline execution.
- Document migration processes and pipeline designs.
Required Skills
- Strong experience with Azure Data Factory (ADF) for building and orchestrating data pipelines.
- Extensive experience with Python development for data processing and automation.
- Hands-on experience with SQL Server.
- Experience working with Oracle Database (OCI).
- Experience with Azure DevOps for CI/CD and deployment workflows.
- Strong understanding of data integration, ETL processes, and pipeline orchestration.
Preferred / Nice-to-Have Skills
- Experience working in PBM (Pharmacy Benefit Management) or pharmacy-related data environments.
- Experience with healthcare or pharmacy data systems.
- Familiarity with Azure data services and cloud-based data architectures.
Education
Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).