Senior Google Cloud Data Engineer
Tasks
- Build data ingestion and transformation pipelines
- Collaborate on data quality availability and reliability
- Create streaming and batch data pipelines on GCP
- Develop Looker dashboards for security insights
- Develop machine learning models for outlier detection
- Drive data engineering projects independently
- Implement alerting for anomaly detection
- Lead cybersecurity anomaly detection initiatives
- Maintain technical documentation for data systems
- Perform data analysis for threat detection and reporting
Perks/Benefits
- Career advancement
- Dental insurance
- Health savings account
- Hybrid work options
- Medical insurance
- Professional development
- Remote work options
- Vision insurance
Skills/Tech-stack
Alerting | Anomaly Detection | Apache Beam | Apache PubSub | Batch Data Processing | Batch data | BigQuery | BigQuery ML | Cloud platform | Data Ingestion | Data Processing | Data Transformation | Google Cloud | Google Cloud Platform | Google Dataflow | K-Means | K-means Clustering | Logistic Regression | LookML | Looker | Looker Liquid | Machine Learning | PubSub | Python | SQL | Semantic Modeling | Streaming Data | Streaming Windowing | Streaming data processing | Triggers | Vertex AI | Watermarking
Education
N/A
Regions
Countries
States
Cities
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