Data Operations Engineer
San Jose, California, United States
USD 119K-198K Senior-level Full Time
Tasks
- Build tools for observability and monitoring
- Collaborate with infrastructure teams to identify requirements
- Communicate with stakeholders
- Debug distributed environment problems
- Develop automation and self-service tools
- Implement continuous delivery practices
- Lead client engagement workstreams
- Manage data analytics and ML infrastructures
- Scale operations in dynamic environments
Perks/Benefits
Skills/Tech-stack
Airflow | Apache Spark | Atlas | CD pipelines | CI/CD | CI/CD pipelines | Cassandra | Databricks | Datadog | Docker | Flink | GitLab | Go | Grafana | Iceberg | Java | Jupyter Notebooks | Kubernetes | Luigi | MLflow | Orchestration | Pinot | Python | Rust | Scala | Snowflake | Spinnaker | Splunk | Tableau | Terraform | Trino | Vector Database
Education
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