Urgent Hiring – Data Engineer | Telecom Background Required | Overland Park, KS (Kansas City) | Fully Onsite

Job Description:-

We are looking for a highly skilled Data Engineer / Data Scientist (Cloud, AI & Analytics) with a strong telecommunications background and hands-on experience across cloud data engineering, advanced analytics, and artificial intelligence. The role requires expertise in telecom data domains, architecting scalable data pipelines, building enterprise data models, and designing production-grade AI systems, including LLMs and generative AI, to drive business insights, network optimization, and intelligent automation

Key Responsibilities

• Architect, design, and maintain scalable, resilient data pipelines and enterprise data models to support analytics, AI, and business intelligence use cases.
• Design, build, and optimize ETL/ELT frameworks using Azure Data Factory (ADF) and cloud-native data integration patterns.
• Develop and manage cloud data platforms using Snowflake for high-performance, cost-efficient analytics workloads.
• Design and implement advanced AI and machine learning systems, including deep learning, NLP, large language models (LLMs), and generative AI solutions.
• Lead AI research, experimentation, and prototyping to solve complex business problems and identify automation opportunities.
• Build and operationalize end-to-end ML pipelines, from data preparation and feature engineering to deployment and monitoring.
• Develop executive dashboards and analytical applications that deliver actionable insights and support strategic decision-making.
• Implement CI/CD pipelines to automate data and AI workflows, ensuring reliability, reproducibility, and faster releases.
• Collaborate with engineering, analytics, product, and business teams to ensure seamless system integration and alignment with business objectives.
• Establish data engineering, analytics, and AI best practices, including governance, quality, security, and observability.
• Stay current with emerging data, AI, and LLM technologies to drive continuous innovation.

Required Skills

• Strong proficiency in Python for data engineering, analytics, and machine learning development.
• Hands-on experience with Snowflake for cloud data warehousing and analytics.
• Experience designing and implementing data pipelines using Azure Data Factory (ADF) or equivalent ETL/ELT tools.
• Solid experience with AI/ML techniques, including deep learning, NLP, and LLMs / generative AI.
• Experience building analytical models, experiments, and AI-driven solutions for real-world business problems.
• Strong understanding of enterprise data modeling, data quality, and scalable pipeline design.
• Experience implementing CI/CD pipelines for data and ML workflows using modern DevOps practices.
• Experience building dashboards and analytical applications using modern BI or visualization tools(Tableau/Power BI).
• Familiarity with cloud platforms (Azure preferred; AWS/GCP acceptable).
• Strong communication skills to translate complex technical concepts into business insights.

Preferred / Nice-to-Have Skills

• Experience with MLOps practices, model deployment, monitoring, and observability.
• Experience with telecom network data (5G, LTE, VoLTE, SMS, data usage, roaming).
• Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG) patterns.
• Experience integrating LLMs with enterprise data and applications.
• Experience working in Agile teams and large-scale enterprise environments.