Job description

Fidelity will not provide immigration sponsorship for this position. Job Description: The Role Join a skilled Fidelity’s Asset Management Technology team to develop advanced data engineering solutions that power critical investment decisions. This role involves developing scalable data processing solutions, designing robust data models and ETL pipelines, and applying modern DevOps and Agile practices. Ideal candidate is deeply enthusiastic about innovation in financial technology, with extensive proficiency in Oracle PL/SQL, AutoSys, data warehousing. The Expertise and Skills You Bring You bring a wealth of experience and skills that are critical to our success. These include: Years of demonstrated expertise in crafting high-quality data engineering solutions Strong software development background in the Financial Industry Expertise in Oracle PL/SQL development, SQL Scripting, and database performance tuning Proven understanding of ETL tools like Informatica and Data Warehousing platforms such as Snowflake A passion for learning new technologies and analyzing data to identify gaps and build solutions The ability to independently address technical challenges and develop innovative solutions Strong data modeling skills using Quantitative and Multi-Dimensional Analysis In-depth knowledge of data composition concepts including Transactional, Data Mart, and Data Warehouse structures Basic proficiency in Java, Python, REST API, and AWS is advantageous A dedication to delivering high-quality software using DevOps, Continuous Integration, and Continuous Delivery practices (Maven, Jenkins, Git, Docker) Experience with Agile methodologies (Kanban and SCRUM) is a plus Strong analytical and problem-solving skills Excellent written and oral communication skills Note: This position requires participation in an after-hours, on-call rotation to provide production support, including troubleshooting, incident response, and maintaining the stability of production systems. The Team Asset Management Technology (AMT) offers global technology and assistance to the Investment Management, Research, Trading, and Investment Operations departments at Fidelity. Our team develops top-tier data solutions for Fidelity Strategic Advisor Inc. s managed account offerings. We are responsible for a multi-terabyte data platform that underpins crucial investment management functions for Fidelity’s leading wealth management services. Our platform caters to investment professionals and clients who regularly engage in significant market investment decisions. Fidelity’s Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. Certifications: Category: Information Technology Please be advised that 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.

Requirements

Must-haves

Fidelity will not provide immigration sponsorship for this position. Job Description:
The Expertise and Skills You Bring You bring a wealth of experience and skills that are critical to our success. These include:
Years of demonstrated expertise in crafting high-quality data engineering solutions
Strong software development background in the Financial Industry
Expertise in Oracle PL/SQL development, SQL Scripting, and database performance tuning
Proven understanding of ETL tools like Informatica and Data Warehousing platforms such as Snowflake
A passion for learning new technologies and analyzing data to identify gaps and build solutions
The ability to independently address technical challenges and develop innovative solutions
Strong data modeling skills using Quantitative and Multi-Dimensional Analysis
In-depth knowledge of data composition concepts including Transactional, Data Mart, and Data Warehouse structures
Basic proficiency in Java, Python, REST API, and AWS is advantageous
A dedication to delivering high-quality software using DevOps, Continuous Integration, and Continuous Delivery practices (Maven, Jenkins, Git, Docker)
Strong analytical and problem-solving skills
Excellent written and oral communication skills
Note: This position requires participation in an after-hours, on-call rotation to provide production support, including troubleshooting, incident response, and maintaining the stability of production systems.
Fidelity’s Onsite Working Model

Nice-to-haves

Experience with Agile methodologies (Kanban and SCRUM) is a plus

Application prep

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Keywords to mirror

agilesqljavapythonrestapiawsdockerscrum

Platform: workday
Effort: long

Benefits

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