Senior Data Engineer

🕒 June 4

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Verity Group

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

<Verity Group> is a Brazil-based digital transformation and innovation consultancy that develops and accelerates products and services for enterprises using modern engineering, cloud, and AI-driven approaches. The company offers application modernization, digital experience design, technology outsourcing, and consulting services, and operates an AI orchestration platform called Verity Quantum to integrate and deploy AI agents. Verity Group serves B2B clients in banking, insurance, healthcare and other industries, has 200+ consultants and 1,000+ projects over 15+ years, and focuses on end-to-end strategy-to-execution delivery to generate measurable business value.

📋 Description

• 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

• 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

• 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