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Design and deliver high-impact dbt training programs for analysts data engineers and analytics engineers. Build curricula hands-on labs and capstone projects covering dbt Core & Cloud modeling best practices testing documentation CI/CD and performance. Mentor cohorts assess skills and enable teams to adopt analytics engineering standards at scale.
dbt Expertise: dbt Core & Cloud models/seeds/snapshots Jinja macros packages exposures sources dbt tests (generic & singular) documentation & lineage dbt Cloud jobs and deployment.
SQL Mastery: Advanced SQL (CTEs window fxns optimization); query tuning & profiling.
Data Modeling: Star/Snowflake schemas Kimball/Dimensional design CDC concepts slowly changing dimensions staging marts layering.
Warehouses: Snowflake / BigQuery / Redshift (any two); cost/perf tuning basics.
Versioning & CI/CD: Git/GitHub/GitLab PR workflows dbt build Slim CI environments code review practices.
Orchestration: Airflow / Prefect / dbt Cloud scheduling & alerts.
Quality & Governance: Testing strategy data contracts docs coverage freshness & sources SLAs/SLOs lineage/impact analysis.
Analytics Engineering: Reusable patterns naming conventions modularity metrics layer concepts (semantic modeling familiarity a plus).
Teaching Chops: Curriculum design adult learning principles clear communication live-coding troubleshooting coaching and feedback loops.
Nice-to-haves: Python basics Docker Looker/Power BI/Mode Terraform for dbt Cloud dbt Fundamentals/Certified (or ability to help others certify).
Full Time