Cloud Data Engineer

Morgan Stanley
Arlington, VA
Jan 27, 2022
Jan 29, 2022
Engineer, IT, QA Engineer
Full Time
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.Technology works as a strategic partner with Morgan Stanley business units and the world's leading technology companies to redefine how we do business in ever more global, complex, and dynamic financial markets. Morgan Stanley's sizeable investment in technology results in quantitative trading systems, cutting-edge modeling and simulation software, comprehensive risk and security systems, and robust client-relationship capabilities, plus the worldwide infrastructure that forms the backbone of these systems and tools. Our insights, our applications and infrastructure give a competitive edge to clients' businesses-and to our own.As a Data Engineer/Cloud Engineer, you will work on high-quality data solutions, partnering with various engineering and business teams within the enterprise to design and develop data-driven insights that inform business and product decisions. Additionally, you will be responsible for identifying, researching, and resolving complex technical problems that enhance the combined business decision making capabilities.ResponsibilitiesDefine best practices, develop frameworks and architectural solutions for data movement and analytics at scale.Design and develop common business services / components that are the core foundational blocks across the enterpriseTrain and mentor members within the data engineering team on technology platforms and tools used to develop data solutions.Prepare documentation like runbooks, training documents and user guides for frameworks and ETL jobs.Partner with engineering teams to operationalize/scale the deployment of solutions to achieve optimum performance and efficiency.Partner with business teams across the enterprise to help understand their data and analytic needs, identify optimal data sources and design robust and maintainable solutions.Required Skills5+ years of Technology experience.Excellent communication, documentation, and planning skills.2+ year experience in Snowflake or Azure1+ year experience in Scala/Python/DataBricks/KafkaHands-on API development using Java, .net etc.Excellent analytical skills - specifically using SQL.Experience working with any Big Data platform/Cloud platform developing applications or analytic solutionsCandidate must have good written and oral communication skills, a strong desire to learn, be self-directed, and be motivated to work in a fast paced environment Preferred SkillsSnowflake/ Azure certificationsExperience with data integration and ETL tools and platforms like Talend, IBM DataStage, Informatica etc.Understanding of distributed data processing frameworks like Spark.Hands-on API development using Java, .net etc.Experience with the Jira, Jenkins, Confluence, Bit Bucket, etc.Experience in the Financial industry.Bachelor's degree in Engineering/Science from an accredited college/universityPosting DateJan 18, 2022Primary LocationAmericas-United States of America-Virginia-ArlingtonOther LocationsAmericas-United States of America-Georgia-AlpharettaEducation LevelBachelor's DegreeJobDevelopmentEmployment TypeFull TimeJob LevelAssociate

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