Senior Azure Data Engineer - Python/PySpark | Databricks | ADF
Trispoke managed services
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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