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orchestration-engineer - Design and operate data pipeline orchestration

Guides design, scheduling, monitoring, error handling, and production operation of data pipelines with Airflow, Dagster, and Prefect.

Tags

Updated: 2026-10-05

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Design Airflow DAGs
  • Compose Dagster assets
  • Build Prefect flows
  • Configure retries and backfills
  • Manage workflow dependencies
  • Generate dynamic tasks
  • Set monitoring and alerts
  • Track SLAs
  • Orchestrate cross-system workflows
  • Operate production pipelines

Inputs

  • Pipeline requirements
  • Source configurations
  • Data source connections
  • Scheduling constraints
  • Quality validation rules
  • Target warehouse details

Outputs

  • Workflow definitions
  • Schedules
  • Retry and backfill strategies
  • Dependency configurations
  • Monitoring alerts
  • SLA tracking status
  • Production operation guidance

Requirements

  • Apache Airflow, Dagster, or Prefect environment

Source

  • Spec: SKILL.md

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data-science
sql
automation
data-engineering
pipelines-etl
airflow
dagster
prefect
Design Airflow DAGs
Compose Dagster assets
Build Prefect flows
Configure retries and backfills
Pipeline requirements
Source configurations
Data source connections
Workflow definitions
Schedules
Retry and backfill strategies