Arquitecto Senior Data y Analytics
Tasks
- Build real-time data pipelines
- Collaborate with business and engineering teams
- Define and implement scalable streaming and CDC pipelines
- Define data architecture standards and best practices
- Design event processing solutions with Apache Kafka
- Design real time event based data architectures
- Implement and optimize event integrations with Schema Registry
- Integrate using Kafka Connect and Kafka Streams
- Lead data platform modernization initiatives
- Lead event driven data capabilities
- Manage technical teams in agile environments
- Work with Azure and Databricks data platforms
Perks/Benefits
Skills/Tech-stack
Apache Kafka | Azure | CI/CD | Change Data Capture | Data Capture | Data Processing | Databricks | Distributed Systems | Event Driven | Event-driven architecture | Kafka Connect | Kafka Streams | Microservices | Monitoring | Observability | Real Time | Real-time Data | Real-time Data Processing | Schema Registry | Spark Streaming
Education
N/A
Roles
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