Data Migration Engineer at gaiia owning the technical execution of data migrations for telecom service providers. Focusing on transforming customer data from legacy systems into gaiia's platform.
Responsibilities
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.
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