What are the responsibilities and job description for the Google Cloud Platform Data Engineer (CCaaS/Data Engineering) position at Learn Beyond Consulting LLC?
Only W2
Job Summary:
We are seeking a Data Engineer with strong Google Cloud Platform and Contact Center (CCaaS) experience to support its enterprise-wide customer experience transformation. The role focuses on building scalable data pipelines, integrating cloud contact center platforms, enabling real-time data processing, and supporting AI-driven customer engagement initiatives.
Required Skills:
- Experience with CCaaS/Contact Center technologies (Five9 preferred, otherwise Genesys, IVR, ACD, call routing, omnichannel workflows)
- Strong Google Cloud Platform Data Engineering skills (BigQuery, ETL/ELT pipelines, data modeling)
- Experience with Kafka, Google Pub/Sub, APIs, and real-time event streaming
- Proficiency in SQL and Python
- Experience integrating contact center platforms with enterprise systems
Nice to Have:
- Hadoop
- Java
- Cloud architecture/Data architecture
- AI/GenAI exposure
Key Responsibilities:
- Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform
- Design data models for customer interaction and analytics data
- Develop real-time streaming solutions using Kafka and Pub/Sub
- Integrate CCaaS platforms with CRM, CTI, and enterprise applications
- Optimize IVR, call routing, and customer interaction workflows
- Collaborate with cross-functional Agile teams to modernize contact center platforms
Preferred Candidate Profile:
- Five9/GECX experience (highest priority)
- Genesys, IVR, or Contact Center/CCaaS experience
- Strong Google Cloud Platform Data Engineer with real-time data processing experience
Project: Modernizing American Express's legacy contact center by migrating to a cloud-based CCaaS platform with real-time analytics and AI-enabled customer experiences.