Google Data Engineer

Role

Google Data Engineer

About the role

Develop secure, resilient cloud infrastructure on major cloud services provider using services like GKE, Cloud Run, Cloud Functions, Pub/Sub, Apigee, BigQuery, Terraform, RDBMS, NoSQL, 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.

Responsibilities

• 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.
• 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.
• 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.

Requirements

• 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.
• 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.

Qualifications

• 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.
• 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.

Skills

• CCaaS solutions, including ACD (Automatic Call Distribution), skills-based routing, dialer, omnichannel capabilities, and campaign management.
• Data pipelines/models/datasets to support CCaaS data platforms.
• AI/ML solutions such as Xgboost, SARIMA, Prophet, prompt engineering and TensorFlow.
• 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.

Benefits

TCS Employee Benefits Summary
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.