AB InBev - Senior Data Engineer - Bees Personalization
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. • 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. • Logical reasoning and analytical skills; • Meeting deadlines and quality of work; • Effective and transparent dialog with other areas and co-workers; • Ability to communicate and interpersonal relationships to to present cases and discuss them with other areas involved; • Being independent in activities; • Work as part of a team, promoting a good relationship with the team; • 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
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.
Benefits
• Performance based bonus* • Attendance Bonus* • Private pension plan • Casual office and dress code • Health, dental, and life insurance • Medicines discounts • WellHub partnership • Childcare subsidies • Discounts on Ambev products* • Clube Ben partnership • School materials assurance • Language and training platforms • Transport allowance • Equal Opportunity & Affirmative Action:
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