Summary
Join our team as a Senior Data Engineer and drive the development and maintenance of data services and solutions to support products, downstream services, or infrastructure tools and platforms used across BEES.
Requirements
- Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis or similar
- Advanced English
- Assess scalability, reliability, security, and compliance implications of data pipeline designs
- Understand cloud computing platforms and services offered by providers like AWS, Azure, and Google Cloud
- Evaluate programming solutions in Python, PySpark, Scala, and SQL for data processing and analysis
- Evaluate data quality processes and controls to ensure accuracy and completeness
- Apply debugging techniques to identify and resolve cross-module issues
- Implement monitoring, alerting, and failure handling mechanisms in architecture designs
- Assess effectiveness of CI/CD principles and practices in automated pipelines
- Design, develop, and maintain APIs for data exchange between applications
- Apply Agile practices to plan, execute, and deliver data engineering tasks and projects
Responsibilities
- Leads efforts within the organization to drive the development and maintenance of data services and solutions to support products, downstream services, or infrastructure tools and platforms used across BEES
- Design efficient data models and understand concepts such as normalization, denormalization, and dimensional modeling
- Implement improvements in architecture and processes to improve the performance, monitoring, and evolution of data products
- Develop and maintain data ingestion, processing, control/security, and data provisioning processes for different consumers (services, front-end, among others)
- Contribute to obtaining knowledge in the business context and creating new data products to meet their strategic and operational needs
Preferred Qualifications
- Evaluate data pipeline solutions for latency, throughput and accuracy
- Analyze data requirements and business needs to inform data modeling decisions
- Understand the principles and assumptions of different machine learning capabilities
- Integrate data sets with visualization tools to create insightful reports and dashboards
Benefits
- Performance based bonus*
- Attendance Bonus*
- Private pension plan
- Meal Allowance
- Casual office and dress code
- Days off*
- Health, dental, and life insurance
- Medicines discounts
- WellHub partnership
- Childcare subsidies
- Discounts on Ambev products*
- Clube Ben partnership
- Scholarship*
- School materials assurance
- Language and training platforms
- Transport allowance
