Telecom Data Engineer

Primary Skills

• Palantir Foundry
• SQL
• Python

• Data Engineering
• Data Analysis
• Telecom Data Structures
• Network Planning & Operations
• Telecom-specific datasets & data standards

• 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.

• 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.

• 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.

• 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.