Senior AI Data Engineer - Telecom EDW Support

Fidium Fiber is a next-generation fiber internet and network services provider. They are seeking a skilled Senior AI Data Engineer to support and evolve their Telecom Enterprise Data Warehouse environment while helping build next-generation, AI-enabled data products.

Responsibilities:

• Design, implement, and manage automated data ingestion pipelines using FiveTran and other ETL/ELT tools
• Integrate data from various telecom systems (OSS/BSS, CRM, billing, network systems, etc.) into Snowflake
• Ensure scalability and reliability of data ingestion processes to meet business SLAs
• Develop and optimize ELT pipelines in Matillion, ensuring efficient data transformations in Snowflake
• Build and maintain data models (staging, core, mart layers) to support reporting, analytics, and AI/ML use cases
• Design data structures and feature-ready datasets to support machine learning and advanced analytics initiatives
• Partner with data scientists and product teams to enable scalable model training, inference, and deployment workflows
• Implement and monitor data validation, profiling, and quality checks to ensure data accuracy, completeness, and timeliness
• Collaborate with data governance teams to maintain metadata, lineage, and documentation within Secoda
• Troubleshoot and resolve data discrepancies and pipeline failures proactively
• Contribute to the design and development of a self-service analytics platform / web portal for internal stakeholders
• Build APIs and backend services to expose curated data and AI-driven insights to applications
• Collaborate on front-end integrations (e.g., React-based interfaces) to deliver intuitive, data-driven user experiences
• Support development of AI-powered features such as forecasting, anomaly detection, or intelligent data exploration
• Support daily operations of the EDW, including job scheduling, monitoring, and performance tuning
• Implement alerting, logging, and observability practices to ensure high system uptime
• Participate in on-call rotations or provide after-hours support as needed
• Partner with analysts, BI developers, and product stakeholders to enable both dashboard-based and application-based data consumption
• Support delivery of data through APIs and services for downstream applications in addition to Tableau reporting
• Work closely with data architects, data scientists, product managers, and application developers to translate business needs into scalable data and AI solutions
• Contribute to best practices across data engineering, AI/ML pipelines, and application integration

Requirements:

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field
• 8+ years of experience in data engineering or data warehousing
• Telecom industry experience required
• Solid understanding of data modeling (star/snowflake schemas, dimensional modeling)
• Experience with data quality frameworks, metadata management, and DevOps for data pipelines
• Strong SQL skills and familiarity with Python or bash scripting for automation
• Experience with cloud environments (AWS, Azure, or GCP)
• Strong proficiency with: FiveTran (data ingestion and connector management)
• Snowflake (SQL, warehouse configuration, performance optimization)
• Matillion (ELT orchestration and transformation development)
• Tableau (understanding of data delivery and visualization integration)
• Secoda (data cataloging and lineage documentation) or similar solution
• Telecom industry experience, particularly with OSS/BSS and network data sources
• Experience building data-driven applications or internal platforms
• Exposure to LLMs, AI-assisted analytics, or ML model deployment pipelines
• Familiarity with real-time or event-driven architectures
• Experience integrating data platforms with user-facing applications
• Exposure to data observability tools and incident management practices
• Exposure to Data360 Analyze