Senior Data Engineering Developer

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Quantrics Enterprises Inc.

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2016

🤝 B2B

🏢 Enterprise

B2B • Enterprise

Quantrics Enterprises Inc. is a provider of world-class customer solutions, combining exceptional customer care and IT services to help businesses grow at scale. The company emphasizes a people-first culture, community engagement, and career development, with multiple offices across the Greater Manila Area. Quantrics positions itself as a partner to businesses seeking outsourced customer support and technology-enabled service solutions.

📋 Description

• Build and optimize real-time streaming pipelines to ensure efficient routing of voice and chat session data into enterprise data platforms • Integrate generative AI solutions with enterprise knowledge bases to ensure accurate and context-aware conversational agent performance • Maintain and configure low-latency databases to ensure secure and reliable storage of session states and operational metadata • Design system architectures and technical blueprints to ensure scalable, resilient, and high-performance solutions • Delegate and manage engineering tasks to ensure effective team productivity and capability development • Develop and execute testing processes to identify system issues and ensure quality and stability in deployed solutions • Collaborate with stakeholders to align requirements, manage expectations, and ensure successful project delivery • Oversee automated PII redaction workflows across voice and text streams to ensure full compliance with data privacy requirements prior to storage.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related quantitative field • Active, verified Google Professional Data Engineer certification • Minimum of 3+ years of experience in GCP data ecosystem technologies including BigQuery, BigTable, and Firestore • Minimum of 3+ years of experience in real-time streaming pipelines using Pub/Sub, Cloud Functions, and Dataflow • At least 1+ year of experience in LLM orchestration and generative AI integration using enterprise data grounding techniques • Minimum of 2+ years of experience with conversational AI platforms such as Google CCAIP and Dialogflow CX • Minimum of 2+ years of experience in infrastructure as code using Terraform and cloud security governance using IAM roles • Strong experience in designing system architecture, debugging complex pipelines, and ensuring system performance • Proficiency in programming languages such as Python, Java, or Go • Strong analytical, problem-solving, and stakeholder communication skills

🏖️ Benefits

• Flexible work arrangements • Professional development