Developer, Data Science
Tasks
- Build CI/CD pipelines
- Build ETL/ELT pipelines
- Deploy and manage machine learning models
- Design data-centric applications
- Develop APIs and backend services
- Ensure data quality, performance, and reliability
- Implement monitoring logging and observability
- Maintain infrastructure-as-code
- Productionize machine learning models
- Translate prototypes into production systems
Perks/Benefits
Skills/Tech-stack
Airflow | Apache Beam | Apache Spark | BigQuery | CI/CD | Cloud Composer | Cloud Run | Cloud Storage | Data Quality | ELT | ETL | GCP | Git | Google Cloud | Google Cloud Storage | Logging | MLOps | Microservices | Monitoring | Observability | Pandas | Python | REST API | SQL
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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