Data Ai Engineering Specialist (hybrid), Director

Morgan Stanley UK

Montreal, Canada
On-site
Develop and maintain data pipelines
Work with structured and unstructured data
Optimize data systems for performance
Build and maintain the data infrastructure for Data AI platforms, involving hands-on development and data pipeline creation

Job Summary

  • Build and maintain the data infrastructure for Data AI platforms, involving hands-on development and data pipeline creation.
  • Develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with technology principles and drives efficiency, controls, security, and innovation.
  • Morgan Stanley is a global leader in financial services, known for evolving and innovating to better serve clients and communities.

Matching Summary

Build and maintain the data infrastructure for Data AI platforms, involving hands-on development and data pipeline creation.

Skills & Requirements

Must-have

  • Develop and maintain data pipelines
  • Work with structured and unstructured data
  • Optimize data systems for performance
  • Implement data quality and governance
  • Collaborate with stakeholders
  • 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 (e.g., Kafka)
  • Experience with Git version control
  • 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
  • Experience on Snowflake Cortex appreciated
  • Excellent communication and collaboration skills
  • Ability to work independently
  • Knowledge of French and English required

Work Rights

Not specified

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