Data Engineer

Learn Beyond Consulting LLC
Charlotte, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Charlotte, United States of America

Tech stack

API
Artificial Intelligence
Big Data
Google BigQuery
Computer Telephony Integration
Customer Interaction Management (Software)
Information Engineering
ETL
DevOps
Python
SQL Databases
Data Streaming
Google Cloud Platform
Enterprise Software Applications
Spring Cloud
Genesys
System Availability
Delivery Pipeline
Containerization
Kubernetes
Kafka
REST
Stream Processing
Data Pipelines
Microservices

Job description

We are seeking an experienced Data Engineer with expertise in Google Cloud Platform (Google Cloud Platform) and Contact Center technologies to support a large-scale Customer Experience (CX) transformation initiative. The ideal candidate will have strong experience building scalable data pipelines, real-time data processing solutions, and cloud-native applications while working with modern Contact Center (CCaaS) platforms., * Design and develop scalable ETL/ELT pipelines on Google Cloud Platform.

  • Build and maintain data models supporting reporting and analytics.
  • Develop real-time streaming solutions using Kafka and Google Pub/Sub.
  • Design and support cloud-based Contact Center (CCaaS) solutions.
  • Develop and optimize IVR, call-routing, and customer interaction workflows.
  • Integrate Contact Center platforms with enterprise applications through APIs and microservices.
  • Ensure data quality, security, scalability, and high availability.
  • Collaborate with cross-functional engineering and business teams to deliver enterprise-scale customer experience solutions.

Requirements

  • 5+ years of Data Engineering experience.
  • Strong experience with Google Cloud Platform (Google Cloud Platform).
  • Hands-on experience with BigQuery, ETL/ELT pipelines, and data modeling.
  • Experience building scalable data pipelines and processing large datasets.
  • Strong experience with Kafka or Google Pub/Sub for real-time event streaming.
  • Proficiency in SQL and Python.
  • Experience developing REST APIs and microservices.
  • Knowledge of CI/CD pipelines and DevOps practices.

Preferred Skills

  • Experience with Five9 or Genesys Cloud (GECX).
  • Experience with Contact Center / CCaaS platforms.
  • Hands-on experience with Genesys, IVR, Automatic Call Distribution (ACD), and call routing.
  • Experience integrating Contact Center platforms with CRM or CTI systems.
  • Exposure to Cloud Run, Google Kubernetes Engine (GKE), and containerized applications.
  • Experience with AI/GenAI or Customer Experience (CX) analytics is a plus.

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