NTT

GenAI Data Platform Engineer

NTT
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7 days ago
Hanoi, Vietnam or Ho Chi Minh City, VietnamSenior

Responsibilities

  • Build ingestion, transformation, integration, orchestration, retry, and recovery workflows for production data pipelines.
  • Implement lakehouse or warehouse data platforms, schemas, metadata, and downstream data structures.
  • Process enterprise documents while preserving source traceability and permissions for GenAI applications.
  • Develop embedding, indexing, retrieval, and RAG data flows and integrate LLM services and GenAI tools.
  • Monitor data quality, pipeline failures, latency, throughput, retrieval relevance, and operating cost.
  • Version code and configuration, automate testing and releases, troubleshoot incidents, and document designs, runbooks, and handovers.
  • Own data-platform and pipeline delivery while coordinating cloud provisioning and platform operations with Cloud, Security, and Governance teams.

Requirements

  • At least 5 years of experience in data engineering, data platforms, or related software engineering, including production pipeline delivery and support.
  • Practical experience with Python, SQL, ETL/ELT, data modeling, orchestration, API integration, data quality checks, and metadata management.
  • Hands-on implementation with Databricks, Snowflake, Microsoft Fabric, or an equivalent enterprise data platform.
  • Practical Azure, AWS, or GCP experience for data workloads, including storage, service connectivity, identity and access, and secrets management.
  • Experience with Git, engineering troubleshooting, logs and metrics, LLM APIs, AI tools, RAG, embeddings, and retrieval data flows.
  • Hands-on RAG solution development, including document chunking, embedding pipelines, and LLM service integration.
  • Relevant degree or equivalent practical engineering experience.
  • Preferred experience with vector databases, enterprise search, hybrid search, reranking, retrieval-quality evaluation, prompt or configuration versioning, response evaluation, usage and cost monitoring, or cloud/data certifications.

Benefits

  • Competitive salary based on agreement, annual bonuses, and regular salary reviews.
  • Full social insurance coverage based on salary and comprehensive healthcare coverage for employees and their families.
  • Probation period paid at 100% of salary.
  • Training sponsorship for professional courses and certification exams.
  • Regular health check-ups.
  • 15 days of paid annual leave, plus one additional day for every three years of service up to 20 days.
  • Hybrid working mode in the Hanoi or Ho Chi Minh City office.
  • Monday to Friday schedule from 08:00–12:00 and 13:00–17:00, with flexible start times between 7:45 AM and 9:00 AM with manager approval.

Tech Stack

Categories

Data Engineering
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