Role: Python Engineer with PySpark and Strong experience into Azure & investment banks Domain Needed
Location: Charlotte, NC (hybrid 2 days on-site)
Duration: 6 months+
Exp Level: 8 years+
| Mandatory Skills | Min Experience Required | How many years does candidate have | In which project you have worked (Name of client clients) |
| Python Engineer | 9-10 | ||
| PySpark | 5-6 | ||
| Azure Development | 5-6 | ||
| Investment banks | 5-6 | ||
| Data Engineer with experience in Azure cloud. | 5-6 | ||
| Azure cloud services | 5-6 | ||
| Azure Data Factory | 5-6 | ||
| Azure Lake Gen 2 | 5-6 | ||
| Azure Databases | |||
| Azure Data Fabric | 5-6 | ||
| API Gateway management & Azure Functions | 5-6 | ||
| Azure Databricks | 5-6 | ||
| SQL skills with RDBMS or NoSQL databases | 5-6 | ||
| Developing API s using FastAPI or similar frameworks in Python | 5-6 | ||
| ETL/ELT processes | 5-6 | ||
| Financial services industry, financial instruments, asset classes, and market data are a plus. | 5-6 | ||
| DevOps lifecycle (git, Jenkins, etc.), CI/CD processes | 5-6 |
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 banks.
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 development 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 RDBMS 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 the financial services industry, financial instruments, asset classes, and market data are a plus.
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