Azure Data Engineer position pays $86/hour on W2 DIRECTLY with candidate. Please no 3rd party consulting companies.
Hybrid in Jersey City, NJ. REQUIRES IN-PERSON INTERVIEW. Please DO NOT SEND YOUR RESUME IF YOU ARE UNABLE TO INTERVIEW IN THE OFFICE
Summary:
Designs and builds data solutions using Microsoft Azure technologies. Responsibilities: Develop data pipelines, implement data lakes, ensure data security and compliance. Skills: Azure certifications, experience with Synapse, Data Factory, and Databricks.
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.
Roles and Responsibilities:
The Enterprise Information Protection (EIP) team in partnership with the Information Security Data Operations team are working on a project to centralize EIP data and governance around its DSPM and DLP data.
To achieve success, this individual will be required to analyze and develop the ingestion pipeline of data sources required for this effort in the Cybersecurity Data Lakehouse (CyberDW). This individual will function as a development resource in the Information Security Data Operations team and a technical liaison between the Data Owners, Enterprise Information Protection, and the Security Engineering teams.
They will be responsible for timely follow-ups and routine updates to the CyberDW sprint schedule as well as adherence to the internal IT SDLC agile processes.
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