Data Engineer
Tasks
- Build and manage data pipelines for LLM and GenAI applications
- Collaborate with data analysts data scientists and stakeholders
- Design and implement BigQuery data warehouse and mart solutions
- Design, build and maintain ETL/ELT pipelines
- Develop data transformation logic using SQL Python or Spark
- Implement data quality integrity and consistency processes
- Integrate data from multiple sources into GCP
- Maintain documentation and data architecture
- Optimize query performance and storage cost in BigQuery
- Perform pipeline maintenance and version control
- Provide guidance on GCP best practices
- Set up monitoring and logging systems
- Understand and interpret business and technical requirements
Perks/Benefits
- Free meals
- Hybrid work
- Learning and development opportunities
- Mobility program
- Paid time off
- Private healthcare
Skills/Tech-stack
AI Agent Builder | Agent Builder | Apache Airflow | Automl | Batch Processing | BigQuery | BigQuery ML | CI/CD | Cloud Composer | Cloud Functions | Cloud Run | Cloud Scheduler | Cloud Storage | Cloud platform | Compliance | DVC | Data Governance | Data Modeling | Data Pipelines | Data Security | Data Versioning | Data labeling | Dataflow | ELT | ETL | Feature Engineering | Feature Store | Git | Google Cloud | Google Cloud Platform | Jenkins | Langchain | Llamaindex | PubSub | Python | Query Optimization | Retrieval-Augmented Generation | SQL | Schema Design | Streaming Data | Streaming data pipelines | Terraform | Vector Databases | Vertex AI | Vertex AI Agent Builder | Vertex AI Feature Store
Education
Roles
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