
Data Engineer with Airflow
5 days ago
Job Title: Data Engineer Airflow & Microsoft Fabric
Position Summary
We are seeking a highly experienced Senior Data Engineer to support a short-term Azure Data Fabric implementation project. The ideal candidate will have strong expertise in Apache Airflow and hands-on experience with Azure Data Fabric, with a proven track record of designing and deploying scalable data solutions in cloud environments.
You will collaborate with a cross-functional team including Project Managers, Architects, and Business Analysts to deliver high-quality data engineering outcomes.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Apache Airflow
- Implement and optimize solutions within the Azure Data Fabric ecosystem
- Integrate workflows with Azure services such as Data Lake, Synapse Analytics, Data Factory, and Purview
- Collaborate with architects and analysts to translate business requirements into technical solutions
- Ensure pipeline reliability, scalability, and performance
- Apply CI/CD practices for data pipeline deployment
- Uphold data governance, security, and quality standards
Required Skills & Qualifications
- 68 years of experience in data engineering roles
- Mandatory hands-on experience with Azure Data Fabric and its components
- Expert-level proficiency in Apache Airflow
- Strong programming skills in Python
- Deep understanding of Azure cloud services for data processing and orchestration
- Experience with data workflow scheduling, monitoring, and optimization
- Familiarity with enterprise data environments and agile methodologies
- Excellent communication and problem-solving skills
Nice-to-Have Skills
- Experience with containerization tools (Docker, Kubernetes)
- Knowledge of data modeling and ETL best practices
- Familiarity with DevOps tools and practices
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