**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
: -/hr
MSP Owner: Kelly Gosciminski
Location: Charlotte, NC - onsite
Duration: 6 months
skill id: 10817208
CCaaS Google Data Engineer
Revised JD:
4+ 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.
Role Descriptions: 4+ years of commercial software development experience.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.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 patternsLooks proactively beyond the obvious for continuous improvement opportunities.
Essential Skills: 4+ years of commercial software development experience.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.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 patternsLooks proactively beyond the obvious for continuous improvement opportunities.
Desirable Skills:
Keyword:
Skills: Digital : Google Data Engineering
Experience Required:, Project Code :
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
: -/hr
MSP Owner: Kelly Gosciminski
Location: Charlotte, NC - onsite
Duration: 6 months
skill id: 10817208
CCaaS Google Data Engineer
Revised JD:
4+ 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.
Role Descriptions: 4+ years of commercial software development experience.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.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 patternsLooks proactively beyond the obvious for continuous improvement opportunities.
Essential Skills: 4+ years of commercial software development experience.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.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 patternsLooks proactively beyond the obvious for continuous improvement opportunities.
Desirable Skills:
Keyword:
Skills: Digital : Google Data Engineering
Experience Required:, Project Code :