Responsible for understanding, preparing, transforming, loading, and validating data migrated from the legacy system to the new model.
Map entities, fields, and relationships of the current model, including user, subscription, dependent, and payment where applicable to the scope.
Perform AS IS → TO BE mapping, identifying gaps, inconsistencies, duplicates, and required rules for the new data model.
Define and execute processes for extraction, cleansing, normalization, transformation, and loading of legacy Filó data.
Create import scripts, integrity controls, execution logs, volume validations, and data reconciliation.
Support modeling of the partner, company, beneficiary, dependents, offers, and subscriptions hierarchy.
Participate in cutover strategy, data freeze, migration window, and rollback planning.

Experience as a Data Engineer in migration, integration, or platform modernization projects.
Advanced knowledge of SQL, data modeling, data processing, data quality, and ETL/data ingestion pipelines.
Experience with extraction via dumps, APIs, CSVs, or other data exchange formats.
Experience with validation, reconciliation, logging, traceability, and integrity control in migrations.
Ability to work with backend, architecture, and business teams to translate domain rules into data structures.
Knowledge of GCP, Dataflow, BigQuery, Cloud Storage, or equivalent tools.

Senior Data Engineer

Key skills