Senior Data Engineering Developer

NQX Philippines; Manila; On-site; PHP 900,000 - 1,800,000; Full time

Job summary

NQX Philippines is seeking an experienced engineer to build and optimize real-time streaming pipelines for voice and chat data routing into enterprise platforms. You will integrate generative AI with knowledge bases to enhance conversational accuracy and maintain low-latency databases for secure storage.

You will design scalable architectures, delegate tasks, and develop tests to ensure quality while collaborating with stakeholders to deliver projects on time and ensure compliant PII redaction

Qualifications

• 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

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

Skills

GCP Data Ecosystem

Real-time Streaming

LLM Orchestration

Conversational AI

IaC & Security

Programming (Python/Java/Go)

Data Privacy

API & Integration

Stakeholder Collaboration

Education

Bachelor’s degree in CS/Engineering

Tools

BigQuery

BigTable

Firestore

Pub/Sub

Dataflow

Terraform

IAM

Job 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
• Hands-On Software Development - Ability to write high-quality code while contributing to architectural and leadership responsibilities

QUALIFICATIONS

Educational Qualification/s

• Bachelor’s degree in Computer Science, Engineering, or a related quantitative field

Professional Qualification/s

• 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

Work Conditions

• Work Schedule: Monday to Friday, Golden Hours (aligned to 4 AM ET to 1 PM ET)
• Shift: 9-hour workday (including 1-hour break)
• Locations: GCC Philippines, Bell India, and Bell Morocco
• Overtime/On-call: May be required based on project needs