Trainee GIS Engineer

NeST Digital Pvt Ltd

  • Kochi, Kerala (40)

    0 Yr

    15,000 / Monthly

    Posted: days ago

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    Job Highlights

    Role

    Job Type

    Contract

    Industry

    • Information Technology and Services

      Openings

      Applicants

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      Closing soon

      Job Overview

      Job Title: Trainee GIS Engineer

       

      Job Location: NeST Digital, Kochi

       

      Job Type: Full-time, Work From Office - This is a Contractual role

      (As per the performance candidates can be taken on Nest Digital Payroll)

      Experience Level: Fresher

       

      Job Description:

      We are hiring freshers who are keen to start their careers in GIS and Utility Network Processing. The selected candidates will be working on projects related to:

       

      Utility Network Conversion and Updates: Digitizing, updating, and maintaining utility network data such as electric, water, and gas infrastructure in GIS platforms, mainly in ArcGIS and AutoCAD. This involves converting paper-based or legacy data into digital formats, ensuring accuracy, and integrating updates as per project specifications.

       

      Geospatial Data Processing and Analysis: Performing data transformation, quality control, and spatial analysis to support decision-making in different industries such as urban planning, infrastructure development, and environmental management. This includes working with GIS tools to clean, process, and visualize geospatial datasets.

       

      LiDAR Classification: Processing and categorizing LiDAR point cloud data to identify and classify features such as buildings, roads, vegetation, power lines and miscellaneous structures. This includes filtering noise, segmenting data, and assigning appropriate classifications based on project requirements, working mostly in TerraScan and Microstation platform.

       

      Image Classification: Analyzing satellite or aerial images to identify land cover types, detect changes over time, and extract meaningful patterns. This involves supervised and unsupervised classification techniques, as well as object-based image analysis to classify raster data into pervious and impervious classes or similar based on project requirements.

       

      3D Feature Extraction (FE): Extraction of utility poles and related attachments, planimetric data extraction that involves road features like curbs, edge of pavements, manholes, sidewalks, culverts etc. in 3D from LiDAR datasets for various engineering and city modelling applications.

       

      Utility Network Conversion and Updates: Digitizing, updating, and maintaining utility network data such as electric, water, and gas infrastructure in GIS platforms, mainly in ArcGIS and AutoCAD. This involves converting paper-based or legacy data into digital formats, ensuring accuracy, and integrating updates as per project specifications.

       

      Geospatial Data Processing and Analysis: Performing data transformation, quality control, and spatial analysis to support decision-making in different industries such as urban planning, infrastructure development, and environmental management. This includes working with GIS tools to clean, process, and visualize geospatial datasets.

       

      Key Responsibilities:

      Work on LiDAR data classification and feature extraction.

      Process and analyze geospatial imagery for image classification.

      Convert and update utility network data using GIS tools.

      Ensure data accuracy, quality control, and deliver results within the given timeline.

      Collaborate with teams to optimize workflows and project execution.

      Adapt to new technologies and software related to geospatial data processing.

       

      Qualifications :

      Candidates must have one of the following educational qualifications:

      Engg Diploma, BSc, Any Degree

       

      Skills & Competencies:

      Strong analytical and problem-solving skills

      Ability to work independently and in a team environment

      Willingness to learn and adapt to new technologies

      Good communication and interpersonal skills

       

      What We Offer:

      Hands-on training in GIS, Utility Network Processing (Electrical Transmission and Distribution, Water, Sewer etc), Landbase Mapping, Point Cloud and Image classification.

      Opportunity to work with industry experts and gain real-world experience

      Career growth and skill enhancement opportunities

      Preferred Qualifications

      • Engg Diploma, BSc, Any Degree

      Key Skills

      1/5 of your skills match for this job

      Role-Specific

      Qualification

      • Any Diploma
      • Bachelor of Engineering (B.E) - Computer Engineering
      • Bachelor of Science (B.Sc) - Computer Science

      Benefits

      Eligibility

      About Company

      NeST Digital Pvt Ltd

      NeST Digital is a global technology solutions provider that creates real business transformation for our clients. We drive digital-led innovation, guided by our 20+ years of experience in delivering successful solutions across industry verticals for Global Fortune 500 companies to startups, spread across India, USA, Middle East, Europe, Australia and Japan.  In our mission to be the single digital partner for our clients’ transformation journey; We combine our R&D, Manufacturing Expertise, Digital Technologies and Services into integrated solutions. From its inception in 1998, NeST Digital, the premier technology arm of NeST Group, delivers cutting-edge technology solutions that solve complex challenges including cost, quality and productivity and ultimately improve the bottom line of our clients. NeST always builds solutions that are future-proof by leveraging the power of cognitive technologies such as machine learning (ML), robotic process automation (RPA), natural language processing (NLP), artificial intelligence (AI) and other disruptive innovations and let our clients unlock the power of sustainable digital revolution.


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      Journey

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      Application Date

      2026-01-27 00:00:00.0

      2026-03-25 00:00:00.0

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