Data Engineer - DatabricksZurich Capability Center is currently hiring a Data Engineer - Databricks.
Responsibilities
- Design, build, and maintain scalable data pipelines using Databricks and cloud-based data platforms.
- Develop, optimize, and automate ETL/ELT processes to support analytics, reporting, and machine learning initiatives.
- Work closely with Data Scientists, Analysts, ML Engineers, and business stakeholders to understand data requirements and deliver reliable datasets.
- Implement data ingestion frameworks from multiple structured and unstructured data sources.
- Build and maintain data models, data lakes, and data warehouses that support enterprise analytics needs.
- Ensure data quality, consistency, governance, and security across platforms.
- Optimize Spark workloads and Databricks environments for performance and cost efficiency.
- Support deployment and operationalization of machine learning solutions by providing production-ready datasets and feature pipelines.
- Collaborate with Azure, IT, and DevOps teams to implement CI/CD and DataOps best practices.




- Monitor, troubleshoot, and continuously improve data platform performance and reliability.

Required Skills and Experience
- Bachelor's Degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
- 3+ years of experience in Data Engineering, Data Warehousing, or Big Data environments.
- Strong programming skills in Python and SQL.
- Hands-on experience with Databricks, Apache Spark, and distributed data processing.
- Experience designing and developing ETL/ELT data pipelines.
- Experience working with Data Lakes and modern data architectures.
- Understanding of data modeling concepts including Star Schema and Dimensional Modeling.
- Experience working with Git and version control systems.
- Strong analytical and problem-solving skills.
- English level B2 or higher.

Preferred Qualifications
- Experience with Azure Data Platform services, including:
- Azure Da

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