Job Title: Senior Python Data Engineer (Azure ML & DAG Pipelines)
Job Location : DFW Area - Hybrid
We're seeking a Senior Python Data Engineer with deep expertise in Azure Machine Learning and DAG-based workflow orchestration to design and optimize our data pipelines. You'll architect scalable solutions that power our analytics and ML systems.
Core Responsibilities: Design and implement DAG-based data pipelines using Airflow/Luigi/Prefect
Develop Azure ML pipelines for model training and deployment
Optimize ETL/ELT processes for performance and reliability
Implement IaC (Terraform/Bicep) for cloud resource provisioning
Build monitoring and alerting systems for data workflows
Collaborate with data scientists to productionize ML models
Expert-level Python (decorators, generators, async/await)
10+ years with Azure ML and DAG orchestration tools
Strong experience with Airflow, Luigi, or Prefect
Proficiency in PySpark/Databricks for big data processing
Deep understanding of data modeling and warehousing concepts
Experience with CI/CD pipelines for data systems
Knowledge of Kubernetes for workflow scaling
Experience with real-time streaming (Kafka, Event Hubs)
Familiarity with MLOps practices
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