Senior Data Engineering Developer

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 – design and manage data solutions using BigQuery, BigTable, and Firestore

• Real-time Streaming Pipeline Development – build and manage high-throughput streaming systems

• Gemini Enterprise Agent Integration – implement and optimize generative AI solutions grounded in enterprise data

• CCAIP and Conversational AI Implementation – deploy and manage voice and chat AI systems

• Infrastructure as Code and Security Governance – automate infrastructure deployment and manage access controls

Complementary Competencies (Good-to-have Competencies)

• Data Redaction and Privacy Engineering – implement PII masking solutions

• API and Integration Management – design and manage APIs and communication protocols

• Stakeholder Collaboration – communicate and align with technical and non-technical stakeholders

• Prioritization and Autonomy – manage multiple tasks independently while focusing on critical objectives

• Hands-On Software Development – write high-quality code while contributing to architecture and leadership

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 the 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