Senior Data Engineer - Bees Personalization

• 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