Azure Data Engineer
eTeam, New York, NY, United States
Job Title: Azure Data Engineer
Job Type: Contract
Duration: 6 Months
Location: Charlotte, NC 28202
Hybrid - 2 or 3 days onsite/week
Description:
The Enterprise Architecture team and the EIP team in partnership with the Information Security Data Operations team are working on a project to centralize Proofpoint data suite in the CyberDW (i.e., Adaptive DLP, TRAP/TAP and CASB). 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 . This individual will function as a development resource in the Information Security Data Operations team and a technical liaison between the Data Owners, Security Architecture, 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.
Responsibilities:
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.
Job Type: Contract
Duration: 6 Months
Location: Charlotte, NC 28202
Hybrid - 2 or 3 days onsite/week
Description:
The Enterprise Architecture team and the EIP team in partnership with the Information Security Data Operations team are working on a project to centralize Proofpoint data suite in the CyberDW (i.e., Adaptive DLP, TRAP/TAP and CASB). 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 . This individual will function as a development resource in the Information Security Data Operations team and a technical liaison between the Data Owners, Security Architecture, 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.
Responsibilities:
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.