Build large, scalable analytics pipelines using modern data technologies, and help define company data assets, data integrations, and data quality frameworks. Collaborate with engineering teams to develop strategy for long term Data Platform architecture.
Requirements
- 5+ years of Spark, Python, Java, C++, or Scala development experience
- 5+ years of SQL experience
- 5+ years of experience with schema design, dimensional data modeling, and medallion architectures
- Experience with the Databricks platform and data lake architectures for large-scale data processing and analytics
- Excellent product strategic thinking and communications to influence product and cross-functional teams by identifying the data opportunities to drive impact
- BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
Benefits
- 401k Matching
- Generous Paid Time Off
- Retirement Plan
