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Data Engineer with Palantir Foundry & Telecom at Remote, Remote, USA
Email: [email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=1946441&uid=

From:

kaushik,

vysystems

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Primary Skills :(16-20 years Exp) Palantir Foundry SQL Python

Secondary Skills :

Data Engineering

Data Analysis

Telecom Data Structures

Network Planning & Operations

Telecom-specific datasets & data standards

Key Responsibilities :

Develop and Deploy Solutions in Palantir Foundry

Design, build, and deploy data pipelines, workflows, and custom applications using Palantir Foundry.

Create data integration, data transformation, and ETL solutions to manage and process large telecom datasets.

Implement analytical solutions, reports, and dashboards tailored to telecom-specific use cases.

Data Analysis & Modeling :

Analyze complex telecom datasets to identify patterns, trends, and actionable insights.

Design and implement data models that accurately reflect telecom network data, usage, and customer behavior.

Collaborate with data scientists to support machine learning model deployment within Foundry.

Leverage telecom expertise to ensure data solutions align with industry standards and regulatory requirements.

Telecom Applications:

Develop data applications that address telecom challenges like demand forecasts, Core Network Planning and Design, and Core Network Delivery and Assurance.

Contribute to projects focused on wireline, wireless, network performance, customer experience, and other telecom-focused initiatives.

Collaboration and Communication:

Work closely with cross-functional teams, including data engineers, data scientists, and business stakeholders.

Communicate technical concepts and project outcomes effectively to both technical and non-technical audiences.

Assist with troubleshooting and resolving data-related issues within Palantir Foundry.

Keywords:
Data Engineer with Palantir Foundry & Telecom
[email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=1946441&uid=
[email protected]
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10:23 PM 19-Nov-24


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