Job Summary
We are seeking an experienced Telecom Data Engineer with 10 to 12 years of experience to join our dynamic team. The ideal candidate will have strong technical skills in Python SQL and Palantir along with domain expertise in Service Fulfillment Service Assurance and Telecom. This hybrid role offers the flexibility of working both remotely and on-site with no travel required. Data Engineering Data Analysis Telecom Data Structures Network Planning Operations Telecom specific datasets
Responsibilities
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
Develop data applications that address telecom challenges like demand forecast 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 nontechnical audiences
Assist with troubleshooting and resolving data related issues within Palantir Foundry