Key Responsibilities:
Collaboration: Work closely with data scientists, analysts, and other stakeholders to define data-driven projects and provide access to reliable, well-structured data.
Data Modelling: Develop and manage data models within Databricks/Snowflake, ensuring efficient, secure data organization and accessibility.
Data Pipeline Development: Design, build, and optimize data pipelines to ingest, transform and load data from multiple sources, using Azure Databricks/Snowflake.
Data Transformation: Implement transformations, standardizing data for analysis and reporting.
Performance Optimization: Monitor and optimize pipeline performance, troubleshooting and resolving issues as needed.
- Bachelor/Master
- 4 to 6 Years of Experience in Data Engineering
- Knowledge of Data Management & Automotive
- Language skills: English fluent
- Teamwork, motivation, communication skills