Data Migration Engineer

Job not on LinkedIn

🕒 July 10

🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 23%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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gaiia

WebsiteLinkedInAll Job Openings

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.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Flexible 25-days of vacation. • Stock Options Plan. • Group Insurance. • Telemedicine. • Life Spending Account. • GRSP. • Flexible working hours & all-remote work.