Data Ai Engineer, Dir, P4

Morgan Stanley

New York, United States
Base: $150,000 to $190,000 py; bonus/equity: not s...
Hybrid
Develop and maintain data pipelines
Etl processes
Structured and unstructured data
Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation

Job Summary

  • Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation.
  • Develop and maintain data pipelines and ETL (Extract, Transform, Load) processes.
  • At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered.

Matching Summary

Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation.

Salary

Base: $150,000 to $190,000 per year; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Develop and maintain data pipelines
  • ETL processes
  • Structured and unstructured data
  • Optimize data systems
  • Data quality and governance standards
  • Cloud platforms (AWS, Azure)
  • Message queues and streaming platforms

Nice-to-have

  • Data visualization tools
  • Data governance and security best practices
  • Agile methodologies
  • Data catalog and metadata management tools
  • CI/CD pipelines and DevOps practices

Key Requirements

  • 8+ years of data engineering experience
  • Proficiency in Python
  • Apache Spark or Hadoop experience
  • SQL and NoSQL database knowledge
  • Snowflake and Databricks experience
  • Data modeling and architecture principles
  • Data warehousing concepts
  • Version control systems (Git)
  • Jupyter notebooks for data exploration
  • Excellent communication and collaboration skills
  • Ability to work independently

Work Rights

Not specified

Tailored Resume

Cover Letter