10+ years hands-on database development experience
Python libraries pandas and pyspark proficiency
Postgres db2 shell scripting bash ksh expertise
This role involves designing enterprise data architecture including data warehouses, data lakes, and integration pipelines within the Spend and Third-Party Management team
Job Summary
This role involves designing enterprise data architecture including data warehouses, data lakes, and integration pipelines within the Spend and Third-Party Management team.
Candidates must possess over a decade of hands-on experience developing databases using Python, Postgres, DB2, and various ETL technologies.
Morgan Stanley offers a hybrid work environment in Montreal with opportunities to innovate alongside global leaders in financial services.
Matching Summary
This role involves designing enterprise data architecture including data warehouses, data lakes, and integration pipelines within the Spend and Third-Party Management team.
Skills & Requirements
Must-have
10+ years hands-on database development experience
Python libraries Pandas and PySpark proficiency
Postgres DB2 shell scripting Bash KSH expertise
Data warehouse and data lake design capabilities
SQL NoSQL cloud platform Snowflake AWS knowledge
Power BI Tableau strategic reporting tool design
Nice-to-have
Source to Pay toolset experience preferred
AI-driven insights or automation working knowledge
Strong stakeholder management at executive level
Experience leading large complex transformation initiatives