Morgan Stanley

Data AI Engineering Specialist – Director

Morgan Stanley

full-time

Posted on:

Location Type: Hybrid

Location: Montreal • Canada

Visit company website

Explore more

✨ AI Apply
Apply

Job Level

Lead

Tech Stack

ApacheAWSAzureCloudETLHadoopKafkaNoSQLPythonSparkSQL

About the role

  • Develop and maintain data pipelines and ETL (Extract, Transform, Load) processes
  • Work with structured and unstructured data to ensure it is accessible and usable
  • Optimize data systems for performance and scalability
  • Implement data quality and data governance standards
  • Collaborate with stakeholders across technology and business units to understand their data needs and translate them into technical solutions and provide data-driven insights
  • Contribute to the documentation and knowledge sharing within the team, creating, and maintaining technical documentation and training materials
  • Participate in code reviews and contribute to the improvement of development processes
  • Contribute to the broader data architecture community through knowledge sharing, presentations

Requirements

  • 8 years+ of being a practitioner in data engineering or a related field
  • Proficiency in programming skills in Python
  • Experience with data processing frameworks like Apache Spark or Hadoop
  • Knowledge of database systems (SQL and NoSQL)
  • Experience working on Snowflake and Databricks
  • Experience on Snowflake Cortex will be really appreciated
  • Familiarity with cloud platforms (AWS, Azure) and their data services
  • Understanding of data modeling and data architecture principles
  • Experience with data warehousing concepts and technologies
  • Experience with message queues and streaming platforms (e.g., Kafka)
  • Experience with version control systems (e.g., Git)
  • Experience using Jupyter notebooks for data exploration, analysis, and visualization
  • Excellent communication and collaboration skills
  • Ability to work independently and as part of a geographically distributed team.
Benefits
  • health insurance
  • retirement plans
  • paid time off
  • flexible work arrangements
  • professional development
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringETLPythonApache SparkHadoopSQLNoSQLSnowflakeDatabricksdata warehousing
Soft Skills
communicationcollaborationindependenceknowledge sharingdocumentation