This is a fully remote position, open to applicants in Brazil.

• Accountable for comprehending, preparing, transforming, loading, and validating data transitioned from the legacy system to the new model.

• Map entities, fields, and relationships in the existing model, including user, subscription, dependent, and payment as they pertain to the scope.

• Conduct AS-IS vs TO-BE mapping, pinpointing gaps, inconsistencies, duplicates, and rules necessary for the new data model.

• Define and implement processes for extracting, cleansing, normalizing, transforming, and loading data from the legacy Filó system.

• Develop import scripts, integrity controls, execution logs, volume validations, and data reconciliation procedures.

• Assist in modeling the hierarchy of partners, companies, beneficiaries, dependents, offers, and subscriptions.

• Engage in cutover strategy, data freeze, migration window, and rollback planning.

• Proven experience as a Data Engineer in migration, integration, or platform modernization initiatives.

• Strong expertise in SQL, data modeling, data processing/cleansing, data quality, and load pipelines.

• Familiarity with data extraction through dumps, APIs, CSVs, or other data exchange formats.

• Background in validation, reconciliation, logging, traceability, and integrity controls during migrations.

• Capability to collaborate with backend, architecture, and business teams to translate domain rules into data structures.

• Preferred: Experience with GCP, Dataflow, BigQuery, Cloud Storage, or similar tools.

• Experience in migrating legacy systems and data for subscription, billing, or benefits products.

• Meal allowance

• Food allowance

• Home office allowance

• Health insurance

• Dental insurance

• Life insurance

• Discount partnerships

• Corporate discounts with partner merchants and educational institutions

• Ongoing Agile training

• Verity Break (Intervalo Verity)

• #VerityComVocê

Data Engineer, Senior

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