Job Description
Join a leading team at the company as a Senior Engineer focusing on AI-driven data solutions. Leverage Python and Databricks to build scalable pipelines enhancing analytics and business insights.
In this advanced engineering role, you'll design and maintain robust data pipelines within the Retail and Wealth Risk Engineering team. The ideal candidate has over eight years of application development experience and at least five years in Python and PySpark. By utilizing cutting-edge AI technologies, you will help drive efficiency and scale in data processes.
Key Responsibilities:
• Develop scalable AI agents for ELT/ETL processes
• Create automated pipelines using microservices architecture
• Implement data federation layers with Starburst
• Oversee data quality and integrity across platforms
• Integrate innovative AI tools for enhanced development
Requirements:
• 8+ years in large-scale application development
• 5+ years in Python and PySpark engineering role...
In this advanced engineering role, you'll design and maintain robust data pipelines within the Retail and Wealth Risk Engineering team. The ideal candidate has over eight years of application development experience and at least five years in Python and PySpark. By utilizing cutting-edge AI technologies, you will help drive efficiency and scale in data processes.
Key Responsibilities:
• Develop scalable AI agents for ELT/ETL processes
• Create automated pipelines using microservices architecture
• Implement data federation layers with Starburst
• Oversee data quality and integrity across platforms
• Integrate innovative AI tools for enhanced development
Requirements:
• 8+ years in large-scale application development
• 5+ years in Python and PySpark engineering role...
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