Developer, Data Science
Tasks
- Build and optimize ETL and ELT pipelines
- Contribute to CI CD testing and infrastructure as code
- Deploy and manage machine learning models
- Design data-centric applications and services
- Develop APIs and backend services
- Ensure data quality, performance, and reliability
- Implement monitoring logging and observability
- Productionize machine learning models
Perks/Benefits
Skills/Tech-stack
Airflow | Apache Beam | Apache Spark | CI/CD | Cloud Composer | Cloud Run | Cloud Storage | Data Governance | Data Quality | Dataform | Git | Google BigQuery | Google Cloud | Google Cloud Run | Google Cloud Storage | Infrastructure as Code | Kafka | Logging | Looker | MLOps | Microservices | Monitoring | Observability | Pandas | Pub/Sub | Python | REST APIs | SQL | Testing | “as-code”
Education
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