Morgan Stanley's Wealth Management (WM) business is looking to develop innovative technology solutions for the Private Banking Group (PBG) to provide cash management and lending products and services to WM clients, including state-of-the-art technology for a nationwide network of Private Bankers and product specialists.
Requirements
- Experience working with AI tools (ex. copilot) and able to leverage AI tools to increase efficiency.
- Big data Technologies: Hadoop, Hive, Impala, spark, Pyspark, sqoop, HBase, Python
- Hand on experience working in the Cloud (Azure/AWS)
- Indept understand and experience working in architecture design (logical and physical design)
- Strong SQL skills and database programming skills including creating views, stored procedures, triggers, implementing referential integrity, as well as designing and coding for performance.
- Knowledge and hands-on experience of RDBMS systems (e.g.: Sybase, DB2, Teradata, Oracle, Snowflake).
- Data Integration and ETL Tools: Dataiku, Azure Data Factory, Databricks, Informatica.
Responsibilities
- Design stable, scalable Application database/Datawarehouse.
- Identify potential improvements to the current design/processes.
- Plan and co-ordinate the data/process migration across databases.
- Participate in multiple project discussions as a senior member of the team.
- Serve as a coach/mentor for junior developers.
- Provide thought leadership.
- Lead team in new initiatives such as cloud strategy.
Other
- 15+ years of total experience.
- Good communication and leadership skills.
- Organization, discipline, detail-orientation, self-motivation, and focused on delivery.
- Strong Shell and Java scripting experience.
- Experience in the Financial Industry.
