Data Engineer
Tasks
- Automate workflows with orchestration
- Build event driven data processing
- Collaborate with analytics AI ML and business teams
- Deploy and automate data solution releases
- Design data lakes and data warehouses
- Design data pipelines for batch and real-time data
- Develop and optimize ETL/ELT workflows
- Develop data ingestion frameworks
- Develop data models for analytics and machine learning
- Develop solutions using Python
- Implement CI/CD pipelines
- Improve pipeline reliability scalability and performance
- Optimize pipeline performance and cost
- Troubleshoot data issues and perform root cause analysis
Perks/Benefits
- Company-Paid Holidays
- Employee assistance program
- Life and disability insurance
- Medical, dental, and vision insurance
- Paid time off
- Retirement savings plan
Skills/Tech-stack
Airflow | Batch data | Batch data pipelines | BigQuery | CI/CD | Cloud Composer | Cloud Functions | Cloud Storage | Cloud platform | Data Pipelines | Dataflow | Dataproc | ELT | ETL | FinOps | Google Cloud | Google Cloud Platform | Infrastructure as Code | PubSub | PySpark | Python | Spark | Streaming Data | Streaming data pipelines | Terraform | “as-code”
Education
N/A
Roles
Regions
Countries
States
Cities
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