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Lead Data Engineer to Drive AI in Finance
Job Description & How to Apply Below
As a Senior Data Engineer, your focus will be on establishing a data foundation that drives compliance and governance while integrating advanced data workflows. You will collaborate closely with multiple teams to convert data into valuable insights, ultimately empowering AI-driven decision-making across the organization. Your contributions will directly influence accurate financial modeling and robust risk assessments.
Key Responsibilities:
• Architect and implement scalable data engineering strategies
• Maintain ETL/ELT pipelines for dynamic data integration
• Develop a warehouse for financial data consolidation
• Create real-time data processing for compliance needs
• Design AI-assisted workflows with cross-departmental teams
Requirements:
• 7+ years of relevant data engineering experience
• Experience with financial services or blockchain data
• Proficient in SQL and advanced pipeline technologies
• Proven background in cloud platforms (AWS, GCP, Azure)
• Familiarity with compliance frameworks for sensitive data
Join Cybrid to be at the forefront of integrating AI into financial data engineering and solutions.
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