Data Migration Specialist

Job not on LinkedIn

🕒 April 2

🇨🇦 Canada – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

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Logo of gaiia

gaiia

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

• Collaborate with customers and internal teams to assess legacy data environment: structures, sources, volumes, quality, and constraints. • Own migration solutioning: evaluate requirements, design approaches, and propose viable paths when blockers arise. • Independently explore unfamiliar systems to understand source data structure in relation to gaiia’s data model and product. • Collaborate with gaiia’s engineers on data extraction (databases, reports, flat files, APIs, etc.), and transformation approach aligned with business needs. • Take ownership of unblocking challenges by identifying workarounds and translating business and technical issues into actionable steps. • Support user acceptance testing (UAT) and ensure stakeholders see expected data outcomes. • Plan and execute cutover strategy: final "delta" migrations, downtime considerations, and rollback plans. • Monitor post-cutover data, resolve discrepancies, and ensure stability in production. • Produce documentation of the migration: mapping specs, transformation rules, data anomalies, and decision logs. • Manage migration execution progress through project management tools. • Communicate status, risks, and issues to implementation stakeholders and clients.

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field, or equivalent work experience. • Experience (2-5+ years) working in data migration, data implementation, ETL, or similar roles. • Hands-on exposure to end-to-end migration processes (discovery, extraction, transformation, loading, validation). • Experience working with messy or poorly documented legacy systems. • Strong understanding of data mapping and transformation logic; ability to interpret legacy schemas. • Comfortable exploring new systems and forming hypotheses on how data can be extracted or structured. • Strong problem-solving mindset with a bias toward action and iteration. • Effective communicator with both technical and non-technical stakeholders, including clients. • Able to manage tasks and timelines while maintaining ownership of outcomes. • Comfortable operating in fast-paced, ambiguous environments.

🏖️ Benefits

• 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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