Sr. Data Engineer (Compliance) at RecargaPay

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Sr. Data Engineer (Compliance) at RecargaPay. Come and impact millions of Brazilians!!. Want to make a difference in the lives of millions of Brazilians? . At RecargaPay, we create accessible and innovative financial solutions that transform the way people interact with money. Be part of this impactful and innovative journey, connecting people with opportunities that truly make a difference in their daily lives.. Our purpose is to deliver the best mobile payment experience for Brazilians, addressing real-world challenges with smart solutions like Pix Parcelado, while staying attentive to market trends and our customers' needs. Here, we value collaboration, ownership, and a relentless pursuit of results, delivering excellence in every interaction.. If you’re looking to join a dynamic environment that challenges the status quo and puts people at the center of decision-making, RecargaPay is the perfect place for you to grow, co-create, and make a difference!. Responsibilities. We are seeking a highly skilled . Senior Data Engineer . to join our Regulatory Data Core Squad, working alongside Analytics Engineers and business teams to design, implement, and scale robust data solutions in a dynamic regulatory reporting environment. The Senior Data Engineer will handle the construction and optimization of secure, scalable, and high-performance data architectures, ensuring that data flows reliably and efficiently across multiple systems to meet stringent regulatory, compliance, and business demands.. . Design and build scalable, secure, and high-performance data architectures in cloud environments (AWS, GCP, or Azure), applying architectural patterns like Lambda Architecture and domain-driven design.. . Model data across conceptual, logical, and physical levels using dbt and ER modeling tools, ensuring data integrity, consistency, and alignment with architectural standards.. . Develop optimized data structures to support regulatory reporting, analytics, and operational workloads with a strong focus on reliability and compliance.. . Design, build, and maintain batch and real-time data pipelines using Airflow, Kafka, and Spark, integrating structured and unstructured data from multiple sources with low latency and high availability.. . Optimize data ingestion, transformation, and delivery workflows to ensure timely and accurate regulatory reporting.. . Build and manage scalable data platforms, including Data Lakes, Data Warehouses, and Lakehouses, utilizing technologies such as Snowflake, Redshift, and Delta Lake.. . Continuously monitor and optimize platforms for performance, scalability, and cost-effectiveness.. . Orchestrate complex workflows and automate data processes using Airflow, Databricks, or equivalent orchestration tools.. . Implement best practices for pipeline modularization, versioning (Git), and active monitoring to ensure robustness and maintainability.. . Implement layered security measures across data platforms, including encryption, RBAC, data masking, and auditing practices, leveraging tools like Ranger, IAM, and cloud-native solutions.. . Ensure compliance with internal and external governance, security, and regulatory requirements across all data processes.. . Document data flows, technical standards, architecture decisions, and operational procedures clearly and effectively.. . Mentor and support other engineers in adopting engineering best practices, ensuring a high level of technical excellence and consistency across the team.. . Solid hands-on experience with cloud platforms (AWS, GCP, or Azure) in data engineering and architecture roles.. . Strong background in data modeling with practical experience using dbt, ER modeling tools, and advanced SQL techniques.. . Advanced knowledge of batch and streaming data processing frameworks (Airflow, Kafka, Spark).. . Proficient in managing data storage and processing solutions such as Snowflake, Redshift, and Delta Lake.. . Expertise in orchestration tools and CI/CD practices (Airflow, Databricks, Git).. . Deep understanding of data security principles, data masking, encryption, access control, and governance frameworks.. . Excellent problem-solving skills, technical leadership, and the ability to communicate effectively with cross-functional stakeholders.. . Experience working in regulatory, financial, or compliance-focused environments is a plus.. . Company Location: Brazil.