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Sports Data Solutions Engineer
Job Description & How to Apply Below
This role centers on creating scalable data platforms while ensuring high performance and reliability across data pipelines. Work alongside various teams to deliver actionable insights, while maintaining robust coding standards. Your proactive approach and dedication to learning will elevate the engineering process.
Key Responsibilities:
• Design and implement scalable data solutions within Azure
• Develop data products ensuring optimal performance
• Collaborate to provide business-driven data insights
• Write high-quality code adhering to best practices
• Continuously improve data processes and workflows
Requirements:
• Experience in data lakehouse environment architecture
• Proficiency in Python and PySpark for data processing
• Familiar with Azure tools, particularly ADF and Databricks
• Knowledge of CI/CD using Azure Dev Ops
• Strong SQL skills for effective data management
Join a collaborative team dedicated to shaping the future of sports through advanced analytics and technology.
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