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AI Data Engineer
AI Data EngineerPeople Prime Worldwide • Delhi, India
AI Data Engineer

AI Data Engineer

People Prime Worldwide • Delhi, India
21 hours ago
Job description

Job Details

Job Title : Senior Data Engineer

Location :

Bengalore , chennai, Hyderabad , Pune

Experience : 6–10 Years

Job Type : Full-Time

About the Opportunity

We are looking for a highly experienced

Senior Data Engineer

with strong expertise in Python, Azure cloud, CI / CD pipelines, and modern data engineering frameworks. The ideal candidate will design, build, and optimize scalable data pipelines while integrating AI / LLM capabilities into enterprise workflows.

Mandatory Skills & Expertise

  • 6–10 years of hands-on experience in Data Engineering
  • Strong expertise in

Python , APIs, ETL / ELT, and automation

  • In-depth experience with
  • Azure

    data services (ADF, Databricks, SQL, etc.)

  • CI / CD pipelines using tools like
  • Jenkins, GitLab CI / CD, Azure DevOps

  • Proficiency in
  • containerization & deployment

    (Docker, Kubernetes)

  • Experience designing scalable
  • data pipelines

    & cloud data architectures

  • Good understanding of
  • SQL & NoSQL

    databases

  • Expertise working with structured & unstructured data
  • Strong communication and cross-functional collaboration skills
  • Key Responsibilities

    Develop scalable data pipelines using Python & Azure stack

    Implement

    AI / LLM workflows , including RAG, LangChain, LangGraph, CrewAI

    Work closely with data scientists & business teams to understand requirements

    Containerize and deploy applications using Docker & Kubernetes

    Ensure data quality, observability, and security compliance

    Maintain end-to-end documentation for pipelines & processes

    Identify performance bottlenecks and troubleshoot data issues

    Additional Technical Expertise

    Generative AI fundamentals :

    LLM fine-tuning, prompt engineering, RAG

    ML basics :

    feature engineering, model training

    Cloud platforms : Azure (primary), AWS / GCP (added advantage)

    Big data tools : Spark, Hadoop, Kafka

    ML frameworks : TensorFlow, PyTorch

    Preferred Qualifications

    Azure certifications

    Experience with big data systems

    Knowledge of ML / Data Science concepts

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