Senior Data Engineer - Parametric

ABOUT MORGAN STANLEY
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.
ABOUT PARAMETRIC
Parametric is part of Morgan Stanley Investment Management, the asset management division of Morgan Stanley. We partner with advisors, institutions, and consultants to build portfolios focused on what's important to them and their clients. A leader in custom solutions for more than 30 years, we help investors access efficient market exposures, solve implementation challenges, and design multi-asset portfolios that respond to their evolving needs. We also offer systematic alpha and alternative strategies to complement clients' core holdings.

This role is part of Parametric's hybrid working model, which includes working in the office 2-3 days a week and choosing to work remotely or in the office the remaining days of the week.

ABOUT THE TEAM
The Data Management Office ensures that data pipelines are scalable, repeatable, secure, and can serve multiple users. We help facilitate getting data from a variety of different sources, getting it in the right formats, assuring that it adhere to data quality standards, and assuring that downstream users can get that data quickly.
ABOUT THE ROLE
The Senior Data Engineer is responsible for the design, structure, and maintenance of data. A 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
- Work 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.
- Expand and grow data platform capabilities to solve new data problems and challenges.
- Create data flow diagrams for all of business systems.
- Implement security and recovery tools and techniques when required.
- Help to create and maintain a data catalog for each project.
- Interpret data results to business customers.
- Design the logical model and implements the physical database to support business needs.
- Conduct logical and physical database design.
- Design key and indexing schemes and designs partitioning.
- Develop, test, implement, and maintain database management applications.
- Construct and implement operational data stores and data marts.
- Ensure database changes are reviewed and approved according to database design standards and principles.
- Resolve conflicts between models, ensuring that data models are consistent with the ecosystem model (e.g., entity names, relationships and definitions).
- Model best practices in data management.
- Lead or participate in creating, refining, managing and enforcing data management policies, procedures, conventions and standards.
- Evaluate and provide 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.

JOB REQUIREMENTS
- Bachelor's degree in Computer Science, Mathematics, or Engineering or equivalent work experience
- 6 years of Data Engineering, data science, or software engineering experience
- 3 years of experience with Snowflake
- 3 years of experience in AWS (or similar cloud technologies) cloud stack including S3, IAM, Athena, SNS, SQS, and EMR.
- 6 years of SQL Server and experience with tools such as SSIS and SSRS
- Programming experience in Python and Linux bash
- Capability of architecting highly scalable distributed systems, using different open-source tools
- Demonstrated experience with agile or other rapid application development methods
- Demonstrated experience with object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and data infrastructures
- Advanced visualization skills and creative problem-solving.
- Expert knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases
- Experience using Big Data batch and streaming tools
- Ability to collaborate and partner across a diverse team
- Effective communication skills with business user, stakeholders and other developers, with the ability to effectively explain complex technical concepts to a non-technical staff.
- Ability to create strong work ethics and committed teams, foster open dialogue, and promote individual and team success

Parametric believes each member of our organization makes a significant contribution to our success. That contribution should not be limited by the assigned responsibilities. Therefore, this job description is designed to outline primary duties and qualifications. It is our expectation that every member of our team will offer his/her/their services wherever and whenever necessary to ensure the success of our client services.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).