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 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 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 Data Engineer needs to be able to take business requirements and design and architecture end to end that fully supports the business needs. The 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 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 Data Engineer must also exhibit advanced visualization skills, as well as creative problem-solving.

Primary Responsibilities

• Collaborate on 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.
• Contributes 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.

JOB QUALIFICATIONS

SKILL SET

Required Experience: 5+ years in data engineering

Skill set: SQL/Python/Bash/AWS CLI/Snowflake CLI

Primary Skills

• Bachelor's in Computer Science, Mathematics, or Engineering or equivalent work experience
• 5+ 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.
• 3+ 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
• 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
• Ability to create strong work ethics and committed teams, foster open dialogue, and promote individual and team success

Good to Have Skills

• Financial Services Industry experience is a plus
• Certifications in AWS or Snowflake

Parametric believes that each employee 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, but not limit the employee or the organization to just the work identified. It is our expectation that every employee will offer his/her services wherever and whenever necessary to ensure the success of our services.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. 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.

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.