Senior Manager of Data Engineering
CA Palo Alto Office, United States
USD 150K-300K Senior-level Full Time
Tasks
- Architect data infrastructure
- Build event driven data platform
- Build scalable data pipelines
- Create self-service data products
- Deliver ML ready datasets
- Design data interfaces and APIs
- Drive data governance collaboration
- Implement data quality frameworks
- Lead data engineering best practices
- Manage database operations
- Partner with Analytics and Data Science
- Report platform health and roadmap
- Set up monitoring and alerting
Perks/Benefits
Skills/Tech-stack
Alerting | Amazon Kinesis | Amazon Redshift | Amazon Web Services | Apache Airflow | Apache Kafka | Apache Spark | Azure | CI/CD | Cassandra | CloudFormation | DBT | Data Cataloging | Data Governance | Data Lineage | Data Management | Data Quality | Data Warehousing | Databricks | Google BigQuery | Infrastructure as Code | Kafka | Master Data | Master Data Management | Microsoft SQL | Microsoft SQL Server | MongoDB | Monitoring | Oracle | PostgreSQL | PySpark | Python | REST APIs | SQL | SQL Server | Self-Service | Self-Service Data | Service Data | Snowflake | Streaming Data | Terraform | Version control | Web Services | “as-code”
Education
Regions
Countries
States
Cities
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