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We are seeking experienced Azure Data Engineers to support an upcoming data platform initiative for Munich Re. The selected candidates will work on building and maintaining scalable data pipelines using Azure cloud technologies, with a strong focus on Databricks and Python-based data processing. The role requires hands-on expertise in designing data pipelines, working with large datasets, and collaborating with cross-functional teams in an agile delivery environment.
Job Responsibility:
Develop and maintain data pipelines using Databricks and Python
Build and orchestrate ETL/ELT workflows using Azure Data Factory (ADF)
Work with Azure cloud data services to support data ingestion, transformation, and processing
Optimize and monitor Databricks jobs and data pipelines for performance and reliability
Collaborate with architects, analysts, and business stakeholders to implement scalable data solutions
Ensure best practices in data engineering, code quality, and documentation
Participate in code reviews, troubleshooting, and production support activities
Requirements:
Strong hands-on experience in Databricks
Python scripting for data engineering workloads
Good experience with Azure Data Factory
Solid understanding of Azure Cloud fundamentals
Experience in data pipeline development and ETL frameworks
Strong communication and stakeholder interaction skills