Google Data Engineer

Experience: 6+ years
Experience Required: 5+ Years

Must Have Technical/Functional Skills

• 5+ 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 Modeling
• Python, AI/ML, Tensorflow, LLM, GenAI
• Develop 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 patterns
• Looks 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 any

• Exceptional 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.
• Orchestrated Agile ceremonies as Product Owner & Scrum Master (sprint planning, stand-ups, reviews, retros) for team alignment & transparency.