Google Data Engineer

Google Data EngineerLocation: Sunrise, FL/ Charlotte, NC (Onsite) FulltimeMust Have Technical/Functional Skills5+ years of commercial software development experience.Cloud, GKE, Cloud Run, Cloud Functions, Pub-Sub, Apigee, Big Query, Terraform, RDBMS, No SQL, Maven, GIT, Jenkins, CI/CD, Big data, Scala, Spark, Hive SQL, GCP, Google cloud storage and Big Query, ETL, Data ModelingPython, AI/ML, Tensorflow, LLM, GenAIDevelop secure, resilient cloud infrastructure on major cloud services provider using services such as GKE, Cloud Run, Cloud Functions, Pub/Sub, Apigee, and BigQuery, implementing IAM, VPC design, encryption, multi-region high availability, and Infrastructure as Code (Terraform) to support enterprise-grade customer experience platforms.Implement, and optimize CCaaS solutions, including ACD (Automatic Call Distribution), skills-based routing, dialer, omnichannel capabilities, and campaign management, ensuring scalable, secure, and compliant contact center operations.Have experience in integrations and migrations leveraging CCaaS APIs and telephony capabilities, including CRM/CTI integrations, webhooks, SIP/WebRTC, security configuration, and transition from legacy contact center platforms to Cloud based solutions.Design, develop, and maintain data pipelines/models/datasets to support CCaaS data platforms while ensuring data quality, reliability, security, and compliance.Experience building and integrating AI/ML solutions such as Xgboost, SARIMA, Prophet, prompt engineering and TensorFlow into production systems.Understanding model lifecycle including evaluations, hyperparameters, tuning, and ongoing monitoring, model governance, bias mitigation, and explainability.Experience with Agile development, CI/CD, DevOps and Observability.Hands on experience with Kafka, Relational, and/or NoSQL databases.Understanding of data structures, algorithms, and design patternsLooks proactively beyond the obvious for continuous improvement opportunities.Design and implement scalable CCaaS and IVA solutions leveraging leading Cloud and enterprise conversational AI / customer service solutions including conversational IVR design, NLU/NLP modeling, intent and flow orchestration, webhook integrations, speech-to-text/text-to-speech.Generic Managerial Skills, If anyExceptional communication and stakeholder management skills, with the ability to collaborate with cross-functional teams, including developers, business analysts, and quality assurance professionals, to drive project success.Contact center migration to CCaaS and build data solution surrounding the migration Led cross-functional teams to define product vision, roadmap & quarterly plans using Aha & Jira, prioritizing backlogs based on user feedback & business goals.