Jobtailor Deutschlandweit vor 2 Wochen

Senior Data Engineering Developer

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Job 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

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
  • Google Professional Data Engineer

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