Engineering Manager, Data Modeling
Tasks
- Build and operate foundational data products
- Define shared semantic layer and metric definitions
- Design workflow orchestration for data pipelines
- Develop data models using SQL Python and Spark
- Ensure data quality, reliability, and availability
- Own and evolve core data models and shared metrics
- Partner with product and data teams on shared concepts
- Set modeling standards and technical direction
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Apache Spark | Astronomer | Compliance | Data Governance | Data Modeling | Data Quality | Data Reliability | Data Security | Data availability | Databricks | Lakehouse | Python | SQL | Semantic layer | Workflow Orchestration
Education
N/A
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