Data Engineer - Associate - Software Engineering

Design, develop, and maintain robust data pipelines, ETL processes, and large-scale data warehouse solutions to support enterprise-level reporting and analytics initiatives. Drive automation of data workflows and reporting processes to improve efficiency and reduce manual intervention, leveraging Gen AI and AI-driven solutions. Enable and optimize cloud-based data platforms for scalable data storage, processing, and reporting. Collaborate with business stakeholders, data scientists, and engineering teams to understand requirements and deliver high-quality data solutions. Optimize and troubleshoot SQL queries, data models, and ETL scripts for performance and reliability. Ensure data integrity, quality, and security across all stages of the data lifecycle. Document data flows, processes, and technical solutions for ongoing support and knowledge sharing. Participate in agile ceremonies, continuous improvement initiatives, and foster a culture of innovation and learning. 3-8 years of hands-on experience in data engineering, database development, or related roles. Strong expertise in SQL (query optimization, data modeling, and performance tuning). Demonstrated experience in leveraging Gen AI, Copilot, or AI-based tools for data engineering, automation, or reporting, including design, code completion, review, and automated test case generation. Proficiency with Snowflake (or similar cloud data platforms) and Python for data processing and automation. Experience with ETL tools, scripting (Shell/Python), and building scalable data pipelines. Solid understanding of data warehousing concepts and best practices. Experience with automated testing and testing frameworks. Familiarity with Power BI for data visualization and reporting. Experience with Apache Airflow or similar workflow orchestration tools. Exposure to OLAP tools and multidimensional data modeling. Prior exposure to the finance or investment banking domain is an advantage. Excellent problem-solving and analytical skills. Strong communication skills and ability to work collaboratively in a global team environment. Dynamic, flexible, and eager to learn new technologies; solution-oriented and adaptable to changing priorities. 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. 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. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.