Data Engineer
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.
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.
-
Seniority level
Mid-Senior level -
Employment type
Contract -
Job function
Information Technology -
Industries
Information Technology & Services
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