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Nossa missão é democratizar os meios de pagamentos pelo celular por meio de um serviço inovador, econômico e seguro.
Staff Data Engineer – Regulatory
Location
Brazil
Posted
88 days ago
Salary
0
Seniority
Lead
Job Description
Staff Data Engineer – Regulatory
RecargaPay
• Define the data architecture and modeling strategy for the Regulatory domain, ensuring scalability, reliability, and regulatory compliance. • Design end-to-end domain data solutions, including transformation layers, curated datasets, and data consumption models. • Provide technical guidance and mentorship to Data Engineers and Analytics Engineers. • Ensure solutions align with company-wide data platform standards and collaborate closely with the Data Platform team. • Design and implement scalable data models (conceptual, logical, and physical) using PySpark and advanced SQL. • Build and maintain data transformation pipelines and curated datasets to support regulatory reporting and analytics. • Work with datasets ingested and managed by the Data Platform team, transforming them into reliable regulatory data products. • Develop batch and streaming pipelines using Spark, Airflow, Kafka, and Databricks. • Lead complex data initiatives, driving technical design and delivery across teams. • Produce technical specifications and architecture documentation for data solutions. • Break down complex problems into incremental deliveries, prioritizing MVPs and quick wins with a clear evolution roadmap. • Collaborate with engineering, product, and compliance stakeholders to translate regulatory requirements into technical solutions. • Implement best practices for pipeline modularization, testing, CI/CD, version control, and observability. • Promote standards for data quality, documentation, and maintainable data pipelines.
Job Requirements
- Extensive experience in Data Engineering and Data Architecture in cloud environments (AWS).
- Strong expertise in data modeling, PySpark, and advanced SQL.
- Experience building batch and streaming data pipelines using tools such as Spark, Airflow, Kafka, and Databricks.
- Experience working with data lakehouse architectures (Delta Lake, Redshift or similar).
- Strong understanding of data governance, security, and regulatory data requirements.
- Experience collaborating with centralized Data Platform teams and working within shared data infrastructure environments.
- Strong technical leadership, communication, and problem-solving skills.
Benefits
- Competitive and market-aligned salary.
- Annual Award Program
- Remote work — wherever you are, you’re part of the team!
- Home office allowance through a monthly deposit in the RecargaPay app.
- Health and dental plans with no co-pay.
- Life insurance.
- Flexible meal allowance (via Flash).
- TotalPass membership to take care of your health.
- Language classes.
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