Overview
On Site
Full Time
Skills
Capital Market
Collaboration
Reference Data
Securities
Pricing
Cloud Computing
API
Management
Microsoft Azure
Databricks
SQL
RDMS
NoSQL
Database
Python
DevOps
Git
Jenkins
Continuous Integration
Continuous Delivery
Extract
Transform
Load
ELT
Financial Services
Finance
Market Analysis
Electronic Warfare
Job Details
DATA ENGINEER
LOCATION: Charlotte, NC - Hybrid
Experience Level: Mid (5-7 Years)
W2 ONLY - NO 3RD PARTIES PLEASE
CONTRACT / C2H
Role Objectives
These roles will be part of the Data Strategy team spanning across the Client Capital Markets teams.
These roles will be involved in the active development of the data platform in close coordination with the Client team, beginning with the establishment of a reference data system for securities and pricing data, and later moving to other data domains.
The consulting team will need to follow internal developments standards to contribute to the overall agenda of the Data Strategy team.
Qualifications and Skills
Proven experience as a Data Engineer with experience in Azure cloud.
Experience implementing solutions using -
Azure cloud services
Azure Data Factory
Azure Lake Gen 2
Azure Databases
Azure Data Fabric
API Gateway management
Azure Functions
Well versed with Azure Databricks
Strong SQL skills with RDMS or noSQL databases
Experience with developing APIs using FastAPI or similar frameworks in Python
Familiarity with the DevOps lifecycle (git, Jenkins, etc.), CI/CD processes
Good understanding of ETL/ELT processes
Experience in financial services industry, financial instruments, asset classes and market data are a plus.
#LI-EW1
LOCATION: Charlotte, NC - Hybrid
Experience Level: Mid (5-7 Years)
W2 ONLY - NO 3RD PARTIES PLEASE
CONTRACT / C2H
Role Objectives
These roles will be part of the Data Strategy team spanning across the Client Capital Markets teams.
These roles will be involved in the active development of the data platform in close coordination with the Client team, beginning with the establishment of a reference data system for securities and pricing data, and later moving to other data domains.
The consulting team will need to follow internal developments standards to contribute to the overall agenda of the Data Strategy team.
Qualifications and Skills
Proven experience as a Data Engineer with experience in Azure cloud.
Experience implementing solutions using -
Azure cloud services
Azure Data Factory
Azure Lake Gen 2
Azure Databases
Azure Data Fabric
API Gateway management
Azure Functions
Well versed with Azure Databricks
Strong SQL skills with RDMS or noSQL databases
Experience with developing APIs using FastAPI or similar frameworks in Python
Familiarity with the DevOps lifecycle (git, Jenkins, etc.), CI/CD processes
Good understanding of ETL/ELT processes
Experience in financial services industry, financial instruments, asset classes and market data are a plus.
#LI-EW1
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