Data Operations Engineer
Austin, Texas, United States; San Jose, California, United States
USD 119K-198K Senior-level Full Time
Tasks
- Build observability monitoring alerting and self healing tools
- Debug distributed production incidents and run post incident reviews
- Deploy features using continuous delivery with zero downtime
- Develop self service tools and automation for efficiency
- Implement security controls governance and compliance validation
- Lead day to day data operations
- Maintain batch and real-time data pipelines
- Optimize infrastructure cost and performance
- Provision enable scale and maintain data analytics and ML infrastructure
- Support client workstreams for process improvement and transformation
- Use CI CD pipelines for release automation
Perks/Benefits
- N/A
Skills/Tech-stack
Analytics | Apache Airflow | Apache Atlas | Apache Flink | Apache Iceberg | Apache Pinot | Apache Spark | CI/CD | Cassandra | Continuous Delivery | Data Catalog | Databricks | Datadog | Docker | GitLab | Go | Grafana | Infrastructure as Code | Java | Jupyter Notebooks | Kubernetes | Luigi | MLflow | Machine Learning | Orchestration | Python | Rust | SQL | Scala | Snowflake | Spinnaker | Splunk | Tableau | Terraform | Trino | Vector Database | “as-code”
Education
Regions
Countries
States
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