Data Ai Engineering Specialist (hybrid), Director

Morgan Stanley UK

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

Job Summary

  • Develop and maintain a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles.
  • Develop and maintain data pipelines and ETL processes, work with structured and unstructured data, and optimize data systems for performance and scalability.
  • Collaborate with stakeholders across technology and business units to understand their data needs and translate them into technical solutions.

Matching Summary

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

Skills & Requirements

Must-have

  • Develop and maintain data pipelines
  • 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 data warehousing concepts
  • Experience with message queues and streaming platforms
  • 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
  • Knowledge of French and English required

Work Rights

Not specified

Tailored Resume

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