Data Engineer

Job Title: CCAS Data Engineer Work Type: Charlotte, NC OR Sunrise, FL location. About the Rol eOver 4+ years of professional experience in software development across commercial environments . Responsibiliti • esOver 4 years of professional experience in software development across commercial environment • s.Design and implement scalable Contact Center as a Service (CCaaS) and Intelligent Virtual Assistant (IVA) solutions using leading cloud and enterprise conversational AI platforms, including conversational IVR design, NLU/NLP modeling, intent orchestration, flow design, webhook integrations, and speech technologies (STT/TTS • ).Build secure and resilient cloud infrastructure on major cloud platforms, leveraging services such as GKE, Cloud Run, Cloud Functions, Pub/Sub, Apigee, and BigQuery. Implement IAM policies, VPC architecture, encryption strategies, multi-region high availability, and Infrastructure as Code (Terraform) for enterprise-grade customer experience system • s.Configure, implement, and optimize CCaaS solutions, including Automatic Call Distribution (ACD), skills-based routing, outbound dialers, omnichannel capabilities, and campaign management to ensure scalable, secure, and compliant contact center operation • s.Lead integrations and migrations using CCaaS APIs and telephony technologies, including CRM/CTI integrations, webhooks, SIP/WebRTC, security configurations, and modernization from legacy contact center systems to cloud-based platform • s.Design, build, and maintain robust data pipelines, data models, and datasets supporting CCaaS data platforms, ensuring high standards for data quality, reliability, security, and complianc • e.Develop and deploy AI/ML solutions into production using techniques and tools such as XGBoost, SARIMA, Prophet, TensorFlow, and prompt engineerin • g.Strong understanding of the ML lifecycle, including model evaluation, hyperparameter tuning, monitoring, governance, bias mitigation, and explainabilit • y.Experienced in Agile methodologies, CI/CD pipelines, DevOps practices, and observability framework • s.Hands-on experience with Kafka, as well as relational and NoSQL database system • s.Solid foundation in data structures, algorithms, and software design pattern • s.Proactively identify and drive continuous improvement opportunities beyond immediate requirement s. Required Ski • lls:Expertise in CCaaS, CTI, and CRM platforms, along with IVA and IVR solut • ionsStrong programming experience in Java with proficiency in Microservices architecture and Spring • BootHands-on experience with Kafka for event-driven sys • temsKnowledge of AI/ML techniques, including SARIMA and Pro • phetExperience with release management tools such as Maven and Git. Additional Competen • cies:Solid understanding of the machine learning life • cycleStrong foundation in data structures, algorithms, and software design pat terns