Data Foundations Engineer
San Jose, California, United States
USD 119K-198K Senior-level Full Time
Tasks
- Build batch and near real time data pipelines
- Design scalable data architectures
- Develop ETL ELT workflows optimized for performance and cost
- Ensure data integrity and governance
- Implement best practice workflows and drive operational outcomes
- Implement dimensional data models
- Instrument APIs and user journeys
- Lead client engagement workstreams
- Maintain data privacy and compliance
- Maintain reliability and availability
- Participate in on-call support
- Standardize business metrics
Perks/Benefits
Skills/Tech-stack
AWS | Apache Airflow | Apache Iceberg | Apache Kafka | Apache Spark | CI/CD | Cloud platform | Data Lakehouse | Data Modeling | Data Observability | Databricks | ELT | ETL | Fine Tuning | Google Cloud | Google Cloud Platform | Infrastructure as Code | Java | Language Models | Large Language Models | MLOps | Machine Learning | Microsoft Azure | OLAP | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Scala | Snowflake | Trino | “as-code”
Education
N/A
Roles
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