About us
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
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 modelling 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.
Counterparty Data and Regulatory Technology (CDRT) team has commenced on several strategic initiatives to better our technology and data platform. As a senior data engineer in CDRT, you'll be part of an agile team dedicated to breaking the norm and pushing the limits of innovation. You will be involved in detailed technical design, development and implementation of applications using emerging technology platforms.
Who You Are
Want to be part of cutting edge, high visibility projects and are motivated by delivering world-class solutions on an aggressive schedule
Someone who is not intimidated by challenges; thrives under pressure; is passionate about their craft and focused on delivering exceptional results
Enjoy learning new technologies and raise the bar on your team
Enjoy working with technical and non-technical stakeholders for delivery of software systems
Enjoy working with and managing junior developers
What's the Role
Collaborating and leading part of a cross-functional Agile team to create and enhance software for data ingestion and entity resolution platform
Expertise in application, data and infrastructure architecture disciplines
Working with large, complex data sets from a variety of sources
Participate in the rapid development of user-driven prototypes to identify technical options and inform multiple architectural approaches
Building efficient storage and search functions over structured and unstructured data
Utilizing programming languages Python, Java, Scala, Relational and NoSQL databases
Basic Qualifications
- Overall experience of min 15 years in software development
- Proven track record of a minimum of 10 years in management, in a space with strong focus on large scale data processing and instrumentation.
- Strong coding background, ideally in Java/ Python / Scala
- Strong working knowledge of engineering best practices & big data ecosystem
- Experience in at least one big data product: Databricks, Elasticsearch, Snowflake
- Experience building batch / real time data pipelines for production systems.
- Experience with Relational and Non-Relational DBs like DB2, MongoDB
- Experience with various data formats: Parquet, CSV, JSON, XML, Relational Data
- Strong familiarity with Kafka, Spark, Hadoop, Iceberg, Airflow, Data Modeling, relational databases, columnar databases
- Previous working experience in large scale distributed systems.
- Strong familiarity with software engineering principles, including object-oriented and functional programming paradigms, design patterns, and code quality practices.
- Excellent communication skills, with the ability to effectively collaborate with cross-functional teams and explain technical concepts to non-technical stakeholders.
Desired Qualifications
- Experience with Rest based applications
- Experience with Databricks/ Delta Lake
- Experience with client reference data sourcing from vendors
“Morgan Stanley is an equal opportunities employer. 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.”
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