Amazon Data Engineer - FinTech Application 

Brazil, São Paulo, São Paulo 

685256373

Responsibilities:
- Design, implement, and support a platform providing secured access to large datasets.
- Interface with tax, finance and accounting customers, gathering requirements and delivering complete BI solutions.
- Model data and metadata to support ad-hoc and pre-built reporting.- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Tune application and query performance using profiling tools and SQL.
- Analyze and solve problems at their root, stepping back to understand the broader context.- Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.Key job responsibilities
A Data Engineer II is an autonomous contributor who uses a broad set of design approaches to pragmatically solve difficult problems delivering high quality, stable and performant code. They use their expertise in team’s infrastructure and data products like Synchro, Oracle EBS, FGBSBI to provide technical direction to tax users, works with Tax Tech to understand the business requirements, defines physical and logical data model, designs the solution and contributes great amount to the code base, and guides other engineers on the same team as well as from other teams. They review their design with senior engineers to ensure data engineering best practices are followed. They insist on high standards and set an example with his code, design and implementation decisions. They lead the way in adopting native AWS technologies and implementing new trends in data engineering space. They continuously focus on operational excellence, constructively identify problems and propose solutions to fix them for good.

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines