NQX Philippines
Senior Data Engineering Developer
Senior data engineer building real-time GCP streaming pipelines (BigQuery, BigTable, Firestore, Pub/Sub, Dataflow) that route voice/chat session data, integrating generative AI agents (Gemini, CCAIP, Dialogflow CX) with Terraform-based infra and PII redaction. Works ET-aligned hours from Manila.
- Compensation
- Not disclosed
- Location
- Manila, Philippines
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 1+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, Engineering, or a related quantitative field
- Active, verified Google Professional Data Engineer certification
- 3+ years of experience in GCP data ecosystem technologies (BigQuery, BigTable, Firestore)
- 3+ years of experience in real-time streaming pipelines using Pub/Sub, Cloud Functions, and Dataflow
- 1+ year of experience in LLM orchestration and generative AI integration using enterprise data grounding
- 2+ years of experience with conversational AI platforms such as Google CCAIP and Dialogflow CX
- 2+ years of experience in infrastructure as code using Terraform and cloud security governance using IAM roles
- Strong experience 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
Nice to have
- Data Redaction and Privacy Engineering (PII masking solutions)
- API and Integration Management
- Stakeholder Collaboration with technical and non-technical stakeholders
- Prioritization and Autonomy managing multiple tasks independently
- Hands-On Software Development while contributing to architecture and leadership
Full description
SPECIFIC DUTIES AND RESPONSIBILITIES
- 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.
COMPETENCIES
Core Competencies (Must-have Competencies)
- GCP Data Ecosystem Expertise - Ability to design and manage data solutions using BigQuery, BigTable, and Firestore to support scalable analytics and storage
- Real-time Streaming Pipeline Development - Ability to build and manage high-throughput streaming systems to support continuous data ingestion and processing
- Gemini Enterprise Agent Integration - Ability to implement and optimize generative AI solutions grounded in enterprise data to support conversational accuracy
- CCAIP and Conversational AI Implementation - Ability to deploy and manage voice and chat AI systems to enhance customer interaction experiences
- Infrastructure as Code and Security Governance - Ability to automate infrastructure deployment and manage access controls to ensure secure cloud environments
Complementary Competencies (Good-to-have Competencies)
- Data Redaction and Privacy Engineering - Ability to implement PII masking solutions to support regulatory compliance and data protection
- API and Integration Management - Ability to design and manage APIs and communication protocols to support system interoperability
- Stakeholder Collaboration - Ability to effectively communicate and align with technical and non-technical stakeholders to support project success
- Prioritization and Autonomy - Ability to manage multiple tasks independently while focusing on critical objectives