Senior Data Engineer

Fmr LLC

Durham, NC, United States

about 1 month ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Java (Programming Language) Agile Methodology Amazon Web Services Data Analysis CA Workload Automation Ae Continuous Delivery Continuous Integration Extract Transform Load (ETL) Data Mart Data Systems Data Warehousing DevOps

+14 more

Python (Programming Language) Apache Maven Oracle (Applications) Scrum Methodology Software Engineering SQL Databases Data Processing Snowflake Database Optimization Git Restful APIs Data Pipelines Docker Jenkins

Job description

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., 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.

Requirements

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