Senior Data Engineer - Parametric

The Senior Data Engineer is responsible for the design, structure, and maintenance of data. A Senior Data Engineer ensures the accuracy and accessibility of data relevant to an organization or a project. In this role the Senior Data Engineer needs to be able to take business requirements and design and architecture end to end that fully supports the business needs. The Senior Data Engineer needs to be an expert in writing and optimizing SQL queries. They need to be able to document ideas and proposals which will include creating ER diagrams and architectural documents that document the transformation of data throughout its lifecycle. A successful Senior Data Engineer must possess superior analytical skills and be detail-oriented. This role requires the ability to communicate effectively as part of a larger team within the information technology department. Additionally, you will need to explain complex technical concepts to non-technical staff. Since development of data models and logical workflows is common, a Senior Data Engineer must also exhibit advanced visualization skills, as well as creative problem-solving. Primary Responsibilities Manage and mentor a team of data engineers, fostering growth and driving culture and objectives. Lead development projects, including all components of the development lifecycle, from requirements gathering to deployment, bug fixes, and enhancements. Works with team members to design and implement data solutions in alignment with the project schedule. Codes, tests, and documents new or modified data systems to create robust and scalable data platform for our applications. Works with developers to make sure that all data solutions are consistent. Expands and grows data platform capabilities to solve new data problems and challenges. Creates data flow diagrams for all of business systems. Implements security and recovery tools and techniques as required. Design of the logical model and implements the physical database to support business needs. Develops, tests, implements, and maintains data applications. Design and implement data models in coordination with business stakeholders and project managers. Resolves conflicts between models, ensuring that data models are consistent with the ecosystem model (e.g., entity names, relationships and definitions). Models best practices in data management. Leads or participates in creating, refining, managing and enforcing data management policies, procedures, conventions and standards. Evaluates and provides feedback on future technologies and new releases/upgrades. Contributes to the establishment of business continuity & disaster recovery requirements, methods and procedures for data systems and databases.

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm's employees serve clients worldwide including corporations, governments, institutions and individuals. For further information about Morgan Stanley, please visit www.morganstanley.com.