Data Engineer, Business Intelligence

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September 20

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Fusion Connect

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Telecommunications • Technology • Enterprise

Fusion Connect is a leading provider of managed communication services, specializing in solutions that enhance connectivity and collaboration for businesses. The company offers a wide range of services, including managed networks, SD-WAN, broadband and dedicated internet access, and unified communications & collaboration platforms like VoIP and UCaaS. Fusion Connect also provides Microsoft Teams calling services, SIP trunks, and solutions for replacing legacy phone systems. With a commitment to customer satisfaction and service reliability, Fusion Connect has been helping businesses modernize their communication infrastructure for over two decades. The company emphasizes leveraging Microsoft 365 to help clients maximize their technology investments.

501 - 1000 employees

📡 Telecommunications

🏢 Enterprise

📋 Description

• Design, build, and maintain scalable ETL/ELT pipelines to support BI and analytics use cases. • Collaborate with BI analysts and business stakeholders to understand data needs and translate them into technical requirements. • Develop and manage data models and data marts that enable efficient reporting and analysis. • Ensure data quality, integrity, and governance across all BI datasets. • Optimize data workflows for performance, scalability, and cost-efficiency in cloud and/or on-prem environments. • Integrate data from multiple sources including internal systems (ERP, CRM, operational databases) and third-party APIs. • Monitor and troubleshoot data pipelines and workflows to ensure timely data availability. • Implement and maintain metadata management, data lineage, and documentation for transparency and compliance. • Support the BI team in developing dashboards, reports, and self-service analytics tools.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field. • 3+ years of experience in data engineering, preferably supporting BI or analytics functions. • Proficient in SQL and experience with other programming languages (e.g., Python). • Hands-on experience with ETL tools and data integration patterns. • Experience with data warehousing platforms. • Familiarity with BI tools such as Tableau and Power BI. • Experience working in cloud environments (AWS, GCP, or Azure). • Preferred: Experience with CI/CD pipelines for data workflows. • Preferred: Familiarity with data governance frameworks and privacy regulations (e.g., GDPR, CCPA). • Preferred: Understanding of agile methodologies and experience working in cross-functional teams. • Strong problem-solving skills and the ability to communicate technical concepts to non-technical audiences.