Senior Data Engineer
Tasks
- Build and maintain external reporting pipelines
- Build catalog and content management data integrations
- Build experimentation A B testing pipelines
- Define metrics and significance tooling
- Design and operate experimentation data infrastructure
- Lead semantic model design for product analytics
- Mentor data engineers on telemetry experimentation and partnership
- Operate insights and analytics feedback loops
- Own telemetry contracts and instrumentation
- Provide on call leadership for product tier pipelines
- Surface usage patterns customer feedback and product signals
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Azure | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure Synapse | Azure Synapse Analytics | B testing | Data Contracts | Data Lake Storage | Data Modeling | Databricks | Distributed Systems | Experimentation | Feature Flags | Instrumentation | Metric Definitions | On-Call | Pipeline Orchestration | PySpark | SQL | Semantic Modeling | Significance Testing | Synapse Analytics | Telemetry
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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