Data Engineer (GCP) ID56375
Tasks
- Build data pipelines on GCP
- Build testing frameworks for data pipelines
- Design and implement bitemporal data models
- Develop lakehouse layers and delta lake workflows
- Maintain audit trails and ingestion pipelines
- Manage QA workflows and correction management
- Orchestrate ingestion pipelines with Cloud Composer
- Support AI solutions with data ingestion and anomaly detection
- Transform and release large volumes of financial data
- Use semantic search with Vertex AI
Perks/Benefits
Skills/Tech-stack
AI Search | Apache Airflow | Apache Spark | CI/CD | Change Data Capture | ClickHouse | Cloud Composer | Cloud Monitoring | Cloud Storage | Data Capture | Dataplex | Dataproc | Datastream | Delta Lake | Git | GitHub Copilot | Google BigQuery | IAM | Infrastructure as Code | Pandas | PubSub | PySpark | Python | REST APIs | SQL | Service Controls | Terraform | Time Series | Time series analytics | VPC Service Controls | Vertex AI | Vertex AI Search | “as-code”
Education
N/A
Roles
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