W2 Contract :: Data Engineer in Charlotte, NC (Hybrid 2X) :: USC & GC :: Face to Face Interview

Job Title: Senior Data Engineer with Azure Location: Charlotte, NC (Hybrid 2X) Duration: 6+ Months (W2 Contract) Interview mode: Teams then FACE TO FACE Visa: USC/ GC Only Job Description- Location: Hybrid - Charlotte, NC (hybrid 2 days on-site) (Only Local Candidate) Mode of Interview: Teams then FACE TO FACE (must submit written agreement to doing this) Exp Level: 10 years+ Need 2 official references for candidates. LinkedIn ID needed. Role Description We are seeking experienced software Data engineers in Charlotte (N.C) with 10+ years of relevant experience to support the design and development of a strategic data platform for investment bank. Role Objectives These roles will be part of the Data Strategy team spanning across the Capital Markets and securities teams, broker-dealer and swap-dealer entities. 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. The implementation of this strategic platform on Azure Cloud Platform will require solutions and know-how as listed in the qualifications below. Qualifications And Skills 10+ years of experience in software development using Python, PySpark and its frameworks. 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.