Data Engineer (GCP/API)
Tasks
- Analyze requirements
- Build scalable modular data platforms
- Coach/mentor team members
- Define and uphold SLAs
- Design AI ML based solutions
- Design and create APIs
- Design, build, and monitor data pipelines
- Develop modular reusable code
- Enable self service data architecture
- Follow API best practices
- Implement automated workflows
- Integrate AI ML solutions for customer environments
Perks/Benefits
- 401k retirement savings plan
- Company-Paid Holidays
- Employee assistance program
- Life and disability insurance
- Medical, dental & vision coverage
- Paid time off
- RRSP retirement savings plan
Skills/Tech-stack
API Development | API Testing | Apache Kafka | Apache Spark | Apache Spark Streaming | Apigee | Automated Deployment | Avro | BigQuery | Bigtable | CI/CD | Cloud Architecture | Cloud Functions | Cloud Run | Cloud SQL | Cloud Spanner | Cloud logging | Cloud platform | Continuous Deployment | Continuous integration | Data Catalog | Data Monitoring | Data Pipelines | Data discovery | Data platform | Dynatrace | FastAPI | GCP Cloud | GCP Cloud Run | GitHub | Google Cloud | Google Cloud Platform | JSON | Java | Kubernetes | Language Processing | Natural Language | Natural Language Processing | Parquet | Postman | Python | SQL | Scala | Spark Streaming | Test-Driven | Test-Driven Development | Unit Testing | Vertex AI
Education
N/A
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