Data engineer designing custom data architectures at Zenika. Developing and maintaining data transformation pipelines, optimizing performance, and collaborating with cross-functional teams.
Responsibilities
Design custom data architectures to integrate and deploy solutions smoothly and continuously, often in the cloud.
Model relational and non-relational database schemas.
Design, develop, and maintain data transformation and enrichment pipelines, and orchestrate their execution.
Optimize performance and ensure the scalability of data flows.
Implement data visualization dashboards.
Collaborate with cross-functional teams to ensure the quality of data collection and transformation and the performance of data processing.
Requirements
Python & PySpark (required)
GCP (Google Cloud Platform) (a bonus!)
Hadoop (a bonus!)
Java development experience (a strong bonus!)
Benefits
Flexible remote work
Transparent compensation
Inclusion, professional equality, and digital sustainability
A culture where you can be yourself, with openness and fairness
Open-source projects: you choose your playground
Opportunities to be a lead developer, architect, speaker, or trainer
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