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Data Engineer
hace 3 semanas
**Key Responsibilities**
- Oversee the in-house ML data platform, managing tasks such as collecting, storing, and transforming data to support machine learning models.
- Design, develop, test, and orchestrate data workflows to streamline pipelines.
- Establish and promote best practices for data handling and processing within the ML context.
- Contribute to the development of internal tools for automating data processes and business workflows, enhancing efficiency and scalability.
- Collaborate closely with product, MLOps and data science teams to ensure an optimal data experience for all ML practitioners and data consumers.
**Requirements**:
- 3+ years of professional work experience in data engineering.
- Strong expertise in Python 3 and common data frameworks (Pandas, PySpark).
- Experience with modern data storage solutions: AWS S3, data lakes, and data warehouses.
- Experience with data orchestration tools (Dagster, Airflow).
- Experience with streaming technologies (Kafka, Spark).
- Basic knowledge of machine learning and data analytics.
- Basic knowledge of data visualization and BI tools.
- **Based in Barcelona or ready to relocate to Barcelon**
**You will work in the office for the first months, then we will be able to consider a hybrid format of work**
**Nice to have**
- Experience with Databricks platform.
- Experience with Druid or other OLAP systems.
- Experience in building ML data platforms.
