Google Data Engineer

Dear Consultant

I hope you are doing well.

My name is Omkar Nath Sharma and I represent Synchrony Systems Inc. We are currently supporting an implementation partner on a full-time opportunity. Based on your background your experience may align well with this role.

Position Details:

Note:

• This role is not open for C2C/C2H/1099 or any contract arrangements
• This opportunity is available for candidates who can work on a full-time W2 basis without sponsorship.

Job Description

Must Have Technical/Functional Skills:

• We are seeking a Google Big Data Engineer
• 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
• 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.

Roles & Responsibilities:

• 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.