Data Ai Engineering Specialist (hybrid), Director

Morgan Stanley UK

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

Job Summary

  • Develop and maintain 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 and maintain 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 standards
  • 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)
  • Experience using Jupyter notebooks

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

Key Requirements

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

Work Rights

Not specified

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