Principal Technical Consultant

6 - 11 years

12 - 22 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Key Responsibilities

Training & Mentoring

  • Design, structure, and deliver

    hands-on technical training

    programs tailored to real-world client projects.
  • Develop and maintain training materials, assignments, and project-based learning paths for:
    • .NET

      technologies (C#, ASP.NET MVC, Razor Pages, Blazor, REST APIs)
    • ReactJS

      (SPA fundamentals and advanced features)
    • Python with

      Machine Learning

      foundations
    • Data infrastructure tools like

      HDFS, Kafka, RabbitMQ, MQTT

    • Embedded C

      and

      DLMS

      protocols
  • Mentor and guide new hires and junior developers through technical problem-solving, code reviews, and best practices.
  • Conduct code walkthroughs, mock evaluations, and project reviews.
  • Evaluate trainee performance and recommend improvement strategies.

Product Development Engagement

  • Contribute to ongoing product development projects to maintain domain relevance and technical sharpness.
  • Collaborate with development teams to understand evolving tech stacks and integrate those into training programs.
  • Assist in architectural discussions, system design walkthroughs, and POCs that benefit both internal teams and external clients.

Program Planning & Execution

  • Align training programs with specific

    client domains and project requirements

    .
  • Own the delivery of end-to-end bootcamps and skill upskilling programs.
  • Integrate real-world case studies, code assignments, and project-based tasks into training modules.
  • Act as a knowledge bridge between development and training teams.

Technical Skill Set

  • .NET Stack

    : C#, ASP.NET MVC, Web API, Razor Pages, Blazor
  • Frontend

    : ReactJS Component model, state management, Hooks
  • Database

    : MSSQL and PostgreSQL schema design, stored procedures, transactions
  • Python & ML

    : Numpy, Pandas, scikit-learn, supervised/unsupervised learning
  • Big Data & Infra

    : HDFS (CLI, scripting, file ops), Linux (bash, awk/sed), Scala basics
  • Messaging Systems

    : Kafka, RabbitMQ, MQTT – publishing, subscribing, integration with backend
  • Embedded Systems

    : Embedded C, DLMS protocol understanding and implementation

Good to Have

  • Experience with containerization (Docker), Git CI/CD flows
  • Exposure to enterprise-level architecture and scalable solutions
  • Experience mentoring graduates from premier institutes

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