Fidelity is looking to solve the problem of producing scalable, resilient, Cloud-based systems design using multiple methodologies, simplifying Online Transaction Processing (OLTP) and constructing and comparing models using data modelling tools.
Requirements
- Demonstrated Expertise performing data movement processes (migration, ingestion, and sync-up) for legal, compliance, risk, and security applications, using Python, Kubernetes, and Snowflake.
- Expertise implementing Snowflake Data Lake, Stored Procedure, views, relationships, and flows for legal, compliance, risk, and security applications on a Cloud Platform, using custom connectors; and implementing Power BI reports using Snowflake and Oracle.
- Expertise implementing data components (databases, tables, views, types, stored procedures, functions, roles, and queries) for legal, compliance, risk, and security applications on relational databases (Oracle), using SQL and PL/SQL queries.
- Expertise implementing enterprise level job scheduling and creating compliance aggregate reports for legal, compliance, risk, and security applications on a customer identification program, using Control-M.
- Python
- Snowflake
- Azure Dataverse
- Oracle
- Kubernetes
Responsibilities
- Crafts and implements operational data stores and data lakes in a production environment.
- Coordinates project functionality, using DevOps and Continuous Integration/Continuous Delivery (CI/CD) methodologies and tools.
- Performs deep data analysis on multiple database platforms hosted in AWS and Azure.
- Develops Data pipelines to move data to and from Snowflake and AWS Cloud resources, using Python.
- Analyzes information to determine, recommend, and plan installation of a new system or modification of an existing system.
- Monitors functioning of equipment to ensure system operates in conformance with specifications.
- Determines system performance standards.
Other
- Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Data Engineer (or closely related occupation).
- Alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Principal Data Engineer (or closely related occupation).
- Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office.
- Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others.
- Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
