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Tech Stack
Tools & technologiesCloudFluxGoogle Cloud PlatformHadoopJavaPySparkPython
About the role
Key responsibilities & impact- 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
What you’ll need- Python & PySpark (required)
- GCP (Google Cloud Platform) (a bonus!)
- Hadoop (a bonus!)
- Java development experience (a strong bonus!)
Benefits
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
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Hard Skills & Tools
PythonPySparkGCPHadoopJavadata architecturedata transformationdata enrichmentdata visualizationdatabase schema
Soft Skills
collaborationcross-functional teamworkquality assurance