Data Engineer - Financial Crimes - Associate
About The Position
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Principal Software Engineering position at Associate level which is part of the job family responsible for developing and maintaining software solutions that support business needs. Since 1935, Morgan Stanley is known as a global leader in financial services, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
Requirements
- Experience with coding in all: Pyspark, Python, SQL
- Strong knowledge of relational databases and data modeling
- Strong SQL query-writing skills
- Strong analytical and troubleshooting skills.
- At least 5 years financial industry technology experience and knowledge of financial services data
- Good verbal and written communication skills
Nice To Haves
- Hands-on Experience with Graph Database/Stardog
- Experience with coding Autosys job definitions
- Experience with Data Modeling tools (e.g., Power Designer)
- Experience in Linux Shell
- Experience in Java Development
- Experience and Understanding of Data Quality Rules and Implementation
Responsibilities
- Design, develop, and implement robust PySpark‑based ETL frameworks with error handling and fault tolerance in distributed cluster environments.
- Perform data enquiry, data analysis and data sourcing in Relational and Big Data database environments.
- Develop a thorough understanding of technology systems, data stores, data pipelines, job streams, and downstream data consumers.
- 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, query design, and performance optimization.
- Troubleshoot data issues and collaborate with data providers and upstream teams to identify root causes and drive resolution.
- Provide Level‑3 (L3) production support as needed.
- Use AI‑enabled tools to accelerate data mapping, data lineage creation, and data profiling, improving turnaround time and overall data quality.
Benefits
- attractive and comprehensive employee benefits and perks in the industry
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
