Data Ai Engineering Specialist (hybrid), Director

Morgan Stanley

New York, New York, United States
Hybrid
Develop and maintain data pipelines
Optimize data systems for performance
Implement data quality and governance
Develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency

Job Summary

  • Develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency.
  • Develop and maintain data pipelines and ETL processes, work with structured and unstructured data, and optimize data systems for performance and scalability.
  • Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities.

Matching Summary

Develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency.

Skills & Requirements

Must-have

  • Develop and maintain data pipelines
  • Optimize data systems for performance
  • Implement data quality and governance
  • Proficiency in Python programming
  • Experience with Apache Spark or Hadoop
  • Knowledge of SQL and NoSQL databases
  • Experience with Snowflake and Databricks
  • Familiarity with cloud platforms (AWS, Azure)
  • Understanding of data modeling principles
  • Experience with message queues and streaming platforms
  • Experience with version control systems (Git)
  • Excellent communication and collaboration skills

Nice-to-have

  • Familiarity with data visualization tools
  • Familiarity with data governance best practices
  • Experience with Agile methodologies
  • Familiarity with data catalog tools
  • Familiarity with CI/CD pipelines and DevOps

Key Requirements

  • 8+ years of experience in data engineering
  • Knowledge of French and English required

Work Rights

Not specified

Tailored Resume

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