Associate Data Engineer

Principal Software Engineering PositionIn 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.What You Will DoDesign, 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 specificationsModify ETL and related programs to implement changes driven by evolving business requirementsRespond 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.What You Will BringExperience with coding in all: Pyspark, Python, SQLStrong knowledge of relational databases and data modelingStrong SQL query-writing skillsStrong analytical and troubleshooting skills.At least 5 years financial industry technology experience and knowledge of financial services dataGood verbal and written communication skillsDesired Skills:Hands-on Experience with Graph Database/StardogExperience with coding Autosys job definitionsExperience with Data Modeling tools (e.g., Power Designer)Experience in Linux ShellExperience in Java DevelopmentExperience and Understanding of Data Quality Rules and ImplementationAt Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that's differentiated – and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.Expected base pay rates for the role will be between 90,000 and 150,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.For more information, please visit: