Job Description
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Morgan Stanley is a leading global financial services firm, and they are seeking a Data Engineer to join their Parametric team. The Data Engineer will be responsible for designing, structuring, and maintaining data systems, ensuring data accuracy and accessibility while collaborating with team members to implement data solutions.
Responsibilities:
- 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.
- Help to create and maintain a data catalog for each project.
- Interprets data results to business customers.
- Design of the logical model and implements the physical database to support business needs.
- Conducts logical and physical database design.
- Designs key and indexing schemes and designs partitioning.
- Develops, tests, implements, and maintains database management applications.
- Constructs and implements operational data stores and data marts.
- Ensures database changes are reviewed and approved according to database design standards and principles.
- Resolves conflicts between models, ensuring that data models are consistent with the ecosystem model (e.g., entity names, relationships and definitions).
- 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.
Qualifications:
- Bachelor's in Computer Science, Mathematics, or Engineering or equivalent work experience
- 2+ years of data engineering experience
- 1+ years of experience with Snowflake
- 1+ years of experience in AWS (or similar cloud technologies) cloud stack including S3, IAM, Athena, SNS, SQS, and EMR.
- 2+ years of SQL Server and experience with tools such as SSIS and SSRS
- Programming experience in Python and Linux bash
- 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
- Solid understanding 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
Company:
Morgan Stanley is a financial services company that offers securities, asset management, and credit services. Morgan Stanley has a track record of offering H1B sponsorships.
Seniority level Seniority level Entry level
Employment type Employment type Full-time
Job function Industries Software Development
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Inferred from the description for this job 401(k)
Medical insurance
Vision insurance
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Job Tags
Full time, Work experience placement, H1b,