Data Engineer
Tasks
- Automate workflows and orchestration with Cloud Composer
- Build data ingestion frameworks for streaming and batch
- Collaborate with analytics AI ML and business teams
- Design and optimize data lakes and data warehouses
- Design batch and real-time data pipelines
- Develop Python data engineering solutions
- Develop analytics and machine learning data models
- Develop and optimize ETL/ELT workflows
- Implement CI/CD pipelines and deployment automation
- Implement event driven data processing
- Improve pipeline reliability scalability and performance
- Optimize pipeline and query performance and cost
- Troubleshoot data issues and perform root cause analysis
Perks/Benefits
- Company holidays
- Employee assistance programs
- Life and disability insurance
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings plan
Skills/Tech-stack
Airflow | Bash | Batch Processing | BigQuery | CI/CD | Cloud Composer | Cloud Functions | Cloud Monitoring | Cloud Run | Cloud SQL | Cloud Storage | Cloud logging | Cloud platform | Data Lake | Data Warehouse | Dataflow | Dataproc | ELT | ETL | FinOps | Google Cloud | Google Cloud Platform | IAM | Infrastructure as Code | Lakehouse | Prompt engineering | PubSub | Python | RAG | Real Time | Real-time Processing | SQL | Semantic Retrieval | Shell Scripting | Terraform | Time processing | Vector Search | Vertex AI | “as-code”
Education
N/A
Roles
Regions
Countries
States
Cities
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