
Senior Data Engineer with Expertise in Databricks
2 weeks ago
Are you a Data Engineer with a passion for building seamless data pipelines and driving innovation in cloud-based data environments? Do you excel at transforming raw data into valuable insights, leveraging tools like Azure Databricks or Azure Data Factory? We are looking for a Senior Data Engineer to support our client, a large Swiss Insurance company. If you're ready to tackle complex challenges and make an impact in the world of modern data platforms, we'd love to connect with you
Responsibilities- Azure Cloud Architecture & Engineering
You are adept at working with Azure environments, such as Azure Data Factory, Azure Synapse, and Azure Databricks. Your solutions prioritize scalability, reliability, and efficiency. - Data Pipeline Development
Design, build, and maintain end-to-end data pipelines using Azure Data Factory, ensuring efficient and reliable data ingestion and transformation processes. - Databricks Expertise
Leverage Databricks to perform advanced data processing, enabling seamless integration with data lakes and warehouses while optimizing Spark-based workflows and managing data access by using Unity Catalog. - Scalable and Reliable Solutions
Architect scalable, cloud-native solutions that meet modern data integration and transformation needs while maintaining data quality and governance standards. - CI/CD for Cloud Platforms
You bring expertise in working with CI/CD pipelines with tools such as Azure DevOps or Gitlab, ensuring streamlined code deployment and system updates while maintaining robust security and compliance practices. - Performance Optimization
You excel in monitoring and fine-tuning pipeline performance to ensure optimal functionality for both operational and analytical workloads. - Cross-Team Collaboration
Work closely with data analysts, scientists, and stakeholders to ensure the data architecture aligns with business objectives and analytical needs.
The Basics
- Bachelor's degree in computer science, Data Engineering, or a related field
- 5+ years of experience in data engineering or related roles
- Hands-on experience with Azure Data Factory and Databricks
- Familiarity with Spark optimization techniques
- Understanding the CI/CD principles and working in such an environment
- Familiarity with PowerBI is a plus
- Proficiency in English (German is a bonus)
- Innovative Problem-Solving
You enjoy tackling complex data challenges and devising efficient solutions that deliver real value. - Adaptability and Curiosity
You stay up to date with the latest tools, technologies, and best practices in cloud-based data engineering. - Detail-Oriented and Quality-Focused
You have a sharp eye for detail and are committed to maintaining high standards for data quality and integrity. - Team-Oriented Mindset
You thrive in collaborative environments, encouraging diverse perspectives, and fostering a culture of innovation and shared success. - Insurance Industry
It would be great if you had tangible experience in the insurance industry working with Enterprise clients.
If this sounds like your dream role, we want to hear from you Join our community of elite data professionals and take the first step toward your next exciting career chapter.
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