Manager of Data Engineering
Beverly Hills, California, United States
USD 200K-230K Senior-level Full Time
Tasks
- Build batch data pipelines
- Build real-time data pipelines
- Coach data engineers
- Communicate delivery progress
- Create data products for analytics
- Create data products for machine learning
- Create data products for operations
- Design data solutions
- Develop deploy and support data pipelines
- Ensure data governance and ownership
- Implement automated data validation
- Implement data lineage tracking
- Implement monitoring and alerting
- Lead data engineering team
- Manage cross-functional dependencies
- Remove delivery blockers
- Support cloud-based data platform
- Translate business priorities into technical plans
- Write and review Python code
- Write and review SQL code
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon Databricks | Amazon EMR | Amazon Kinesis | Amazon Redshift | Apache Airflow | Apache Kafka | Apache Spark | Batch Processing | CCPA | DBT | Data Governance | Data Lake | Data Modeling | Data Privacy | Data Quality | ELT | ETL | Event Driven | Event-driven architecture | GDPR | Lakehouse | Python | Real Time | Real-time Processing | SQL | Time processing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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