Senior Azure Data Engineer – Python/PySpark | Databricks | ADF

Job Title: Azure Data Engineer Duration: Contract Location: Charlotte, NC Job Type: Hybrid Pay rate: $80/hr. On W2 Client: SMBC Job ID: SMBCADJP00001387 Job Description

• is in the process of leading a Digital Transformation across our Americas Division as we continue to modernize our technology, focus on our data-driven approach, grow, and plan for the future. As a result of this expansion, we are seeking experienced software Data Engineers spread across Charlotte (N.C), Jersey City (N.J), and India, with 10+ years of relevant experience to support the design and development of a strategic data platform for *** Capital Markets and Nikko Securities Group.

Role Objectives

• These roles will be part of the Data Strategy team spanning across the *** Capital Markets and Nikko Securities teams, *** Americas Division s broker-dealer and swap-dealer entities.
• These roles will be involved in the active development of the data platform in close coordination with the *** 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 development standards to contribute to the overall agenda of the Data Strategy team.
• The implementation of this strategic platform on *** s Azure Cloud Platform will require solutions and know-how as listed in the qualifications below.

Qualifications And Skills

• Full-stack Python/PySpark developer.
• Proven experience as a Data Engineer with experience in Azure Cloud.
• Experience implementing solutions using:
• Azure Cloud Services
• Azure Data Factory
• Azure Data Lake Gen 2
• Azure Databases
• Azure Data Fabric
• API Gateway Management
• Azure Functions
• Well versed with Azure Databricks.
• Strong SQL skills with RDBMS or NoSQL databases.
• Experience developing APIs using FastAPI or similar frameworks in Python.
• Familiarity with the DevOps lifecycle (Git, Jenkins, etc.) and CI/CD processes.
• Good understanding of ETL/ELT processes.
• Experience in the financial services industry, financial instruments, asset classes, and market data are a plus.

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