Senior Data Engineer

Verity Group

Data Engineer responsible for understanding, transforming, and validating legacy data models at Verity. Involves mapping entities and executing data extraction processes.

Posted 6/4/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Meal allowance
Food allowance
Home office allowance
Health insurance
Dental insurance
Life insurance
Employee discount partnerships
Discount agreements with retailers and educational institutions
Recurring agile training
Alura learning platform subscriptions

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdata modelingdata processingdata qualityETLdata ingestiondata extractiondata cleansingdata transformationdata reconciliation

Soft Skills

collaborationcommunicationproblem-solvingattention to detailanalytical thinking