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sql python databricks dbt airflow📋 Description
- Lead design and implement shared data models and conformed dimensions.
- Standardize data engineering practices across ADE and analytics teams.
- Modernize orchestration; improve pipeline decomposition and data access.
- Establish data governance with contracts, SLOs, and quality gates.
- Translate metric definitions into reliable data pipelines powering dashboards.
- Improve observability, runbooks, and on-call efficiency.
🎯 Requirements
- BS degree in CS or related field, or equivalent experience
- 1-2+ years of data/analytics engineering with increasing scope
- 2+ years SQL experience, including complex queries and optimization (Spark)
- 8+ years Python development experience for production pipelines
- Deep expertise in dimensional data modeling and scalable data architecture
- Experience with Airflow and dbt for pipelines and orchestration
- Strong cross-team alignment and standards leadership
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