Data Engineer at CBTW handling data pipelines and ETL processes using SAS. Collaborating with business stakeholders and ensuring data governance within SAS environments.
About the role
- Data Engineer developing robust data solutions in a dynamic environment for Expleo in Zürich. Collaborating on data workflows and ensuring data quality and compliance.
Responsibilities
- Design, development and maintenance of data pipelines and data models
- Implementation of solutions using the Data Vault methodology
- Working with SQL and query optimization
- Development and management of data workflows on Azure
- Collaboration on projects with Databricks and/or Snowflake
- Ensuring data quality, security and compliance
- Supporting business stakeholders with data-driven insights
Requirements
- Minimum 6 years of experience as a Data Engineer
- Strong knowledge of Data Vault, SQL and Azure
- Experience developing data pipelines and ETL processes
- English required; German is a plus (especially for documentation and communication)
- Ability to work independently and collaborate in agile teams
Benefits
- Expleo offers a unique range of integrated engineering, quality and strategic consulting services for digital transformation.
Job title
Job type
Experience level
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Not specified
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