This Principal Software Engineering position at Morgan Stanley focuses on developing and maintaining software solutions that support business needs within the Technology division. The role emphasizes innovation and collaboration to enhance the firm's capabilities and client services. Candidates will work with PySpark-based ETL frameworks and engage in data analysis across various database environments. The position requires strong technical skills and a commitment to delivering high-quality software solutions.

• Experience with coding in PySpark, Python, and SQL
• Strong knowledge of relational databases and data modeling
• Strong SQL query-writing skills
• Strong analytical and troubleshooting skills
• At least 5 years of financial industry technology experience

• Design, develop, and implement robust PySpark-based ETL frameworks with error handling and fault tolerance.
• Perform data enquiry, data analysis, and data sourcing in relational and big data database environments.
• Translate business requirements into data models and program design specifications.
• Modify ETL and related programs to implement changes driven by evolving business requirements.
• Respond to queries from business analysts and developers regarding data access and performance optimization.
• Troubleshoot data issues and collaborate with data providers to identify root causes.
• Provide Level-3 production support as needed.
• Use AI-enabled tools to accelerate data mapping and improve overall data quality.

• Morgan Stanley offers extensive benefits that support employees’ careers, health, finances, and families, including top-tier medical coverage, mental health support, generous parental leave, fertility and family-building benefits, and robust retirement and stock purchase plans. Employees also gain access to continuous learning and networking opportunities, volunteer and giving programs aligned with the firm’s values, and hundreds of lifestyle perks like discounted products, cultural and entertainment tickets, and commuter savings.