Data Engineer

Job Title: SMBCADJP00001611: Data Engineer
Duration: 11 + Months
Location: 200 Hudson St. Plaza II - 4th Floor, Jersey City, NJ 07311 (Hybrid)
Client:  SMBC (Sumitomo Mitsui Banking Corporation) (Japanese Bank)

 Rate: $69/hr. Per hour on W2.

Description:

Role 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 developments 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 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 API’s 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.