
51 - 200 employees
Founded 2023
🤝 B2B
📡 Telecommunications
B2B • Telecommunications • Software
gaiia is the simplest platform designed to run Internet Service Providers (ISPs) by offering an all-in-one solution for billing, operations, automation, and customer management. The platform includes features such as a billing engine, customer portal, inventory and fulfillment management, network monitoring, workforce scheduling, and reporting and analytics. By prioritizing a customer-first approach, gaiia aims to streamline operations and enhance the customer experience while increasing profitability and reducing churn.
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51 - 200 employees
Founded 2023
🤝 B2B
📡 Telecommunications
B2B • Telecommunications • Software
gaiia is the simplest platform designed to run Internet Service Providers (ISPs) by offering an all-in-one solution for billing, operations, automation, and customer management. The platform includes features such as a billing engine, customer portal, inventory and fulfillment management, network monitoring, workforce scheduling, and reporting and analytics. By prioritizing a customer-first approach, gaiia aims to streamline operations and enhance the customer experience while increasing profitability and reducing churn.
• Explore legacy source systems to understand their structure, quality, and relationships. • Export source data across a range of access methods. • Transform exported data into gaiia's standard format. • Execute migrations end-to-end on the internal migration platform. • Build and reuse mappings, templates, and validation rules. • Contribute small engineering improvements to the migration tooling. • Diagnose and resolve data discrepancies during dry runs, UAT, and post-cutover. • Document mapping specs, transformation logic, and data anomalies.
• Experience (3-5+ years) in data engineering, data migration, ETL, or a similar hands-on data role. • Strong command of ETL fundamentals. • Hands-on data-manipulation fluency. • Experience extracting data from a variety of sources. • Proven ability to transform messy, poorly documented data into clean, structured output. • Solid grasp of data quality, validation, reconciliation, and cleansing techniques. • Familiarity with OSS/BSS, telecom, or billing/CRM data models. • Proficiency in TypeScript/JavaScript (Node). • A bias toward reusability and automation over one-off scripts. • Bachelor's degree in Computer Science, Information Systems, Data/Software Engineering, or a related field, or equivalent work experience.
• Flexible 25-days of vacation. • Stock Options Plan. • Group Insurance. • Telemedicine. • Life Spending Account. • GRSP. • Flexible working hours & all-remote work.
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