Product Engineer II – Geospatial Data Science at Esri
Esri · New Delhi, Delhi, India
- Salary: ₹12–20 LPA*
- Experience: 2+ years
📋 Job Details at a Glance 📍 Location New Delhi, Delhi, India 🏢 Company Esri 👥 Experience 2+ years 🎓 Qualification Bachelor's or Master's Degree in Computer Science, GIS, Geoinformatics, Data Science, Geography, Remote Sensing, Engineering, or Related Field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹12–20 LPA* 🏢 Industry Technology 🛠 Key Skills Geospatial Analysis GIS Software Proficiency Data Visualization Remote Sensing Techniques Spatial Data Management Product Engineer II – Geospatial Data Science at Esri — Full Details & How to Apply Esri is seeking a Product Engineer II – Geospatial Data Science in New Delhi, Delhi, India , where you can leverage cutting-edge GIS technology to impact global geospatial solutions. This role is pivotal as the demand for skilled professionals in geospatial data science is rapidly increasing, with organizations relying more on spatial analysis for informed decision-making. The significance of the Product Engineer II – Geospatial Data Science role cannot be overstated in the technology sector today. As companies increasingly adopt geospatial technologies, this position is crucial for enhancing data visualization and analysis capabilities, directly contributing to the effectiveness of Esri 's innovative products. The growing reliance on geospatial data underscores the importance of this role in shaping future solutions. Esri was founded in 1969 and boasts over 4,000 employees . Known for its ArcGIS platform, Esri is recognized for its commitment to innovation. The company fosters a culture of collaboration and creativity, making it an ideal environment for professionals looking to advance their careers in geospatial technology. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor's or Master's Degree in Computer Science, GIS, Geoinformatics, Data Science, Geography, Remote Sensing, Engineering, or Related Field and 2+ years experience to apply for this role. The competitive salary range of ₹12–20 LPA* reflects the value placed on skilled professionals in this field. In this role, you will work with essential skills such as Geospatial Analysis , GIS Software Proficiency , Data Visualization , Remote Sensing Techniques , and Spatial Data Management . This position not only opens doors to advanced career opportunities but also provides unique exposure to innovative projects that can significantly enhance your professional trajectory in the geospatial domain. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Product Engineer II – Geospatial Data Science at Esri is to leverage geospatial data to create innovative solutions that enhance client decision-making and operational efficiency. Develop geospatial data models using ArcGIS tools to enhance data accuracy and usability for various applications. Utilize remote sensing techniques to analyze spatial data and derive actionable insights for clients. Collaborate with cross-functional teams, including software development and data analytics, to integrate geospatial solutions . Monitor and evaluate performance metrics of geospatial products to ensure high-quality deliverables. Take ownership of project timelines and deliverables, ensuring alignment with client expectations and company standards. Document technical processes and findings to facilitate knowledge sharing and improve team efficiency. Engage with clients to understand their geospatial needs and provide tailored solutions to complex problems. This role fosters an ownership culture where each engineer's contributions directly impact client success and the overall quality of Esri 's offerings. Required Skills & Technical Competencies The skill profile for this role emphasizes a strong foundation in geospatial technologies and analytical techniques essential for effective data interpretation and visualization. Technical Skills Geospatial Analysis — intermediate — essential for interpreting spatial data and making informed decisions based on geographic information. GIS Software Proficiency — advanced — practical application of ArcGIS and similar tools is critical for day-to-day tasks in this role. Data Visualization — intermediate — used to create compelling visual representations of data, enhancing user understanding and engagement. Remote Sensing Techniques — intermediate — knowledge of satellite imagery and aerial data analysis is vital for effective geospatial analysis. Spatial Data Management — advanced — skills in organizing and maintaining spatial datasets are crucial for ensuring data integrity and accessibility. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in real-world applications. Eligibility Criteria This role is designed for candidates with a strong academic background and relevant experience in geospatial technologies and data science. Candidates must hold a Bachelor's or Master's Degree in Computer Science , GIS , Geoinformatics , Data Science , Geography , Remote Sensing , Engineering , or related fields. Eligible batches include 2023 , 2024 , 2025 , and 2026 , allowing fresh graduates to apply. The experience requirement of 2+ years can be fulfilled through internships or relevant projects. A minimum academic performance of 60% or equivalent CGPA is preferred. Having a portfolio or GitHub showcasing relevant projects or internships can significantly enhance a candidate's application. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant experiences and skills. Include links to your portfolio or GitHub to showcase your projects. Pro tip: Tailor your application to highlight specific projects that demonstrate your expertise in ArcGIS and remote sensing techniques to stand out. Salary for Product Engineer II – Geospatial Data Science at Esri 💰 Compensation ₹12–20 LPA* The advertised compensation for the Product Engineer II – Geospatial Data Science role at Esri is ₹12–20 LPA* . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Product Engineer II – Geospatial Data Science Upskilling with the right resources significantly enhances your chances of selection for this specialized role in geospatial data science. Recommended Courses & Resources GIS Software Proficiency — Mastering GIS software is crucial for effective geospatial analysis. Data Visualization — Essential for presenting complex geospatial data in an understandable manner. KodNest — Provides hands-on experience in data science applications relevant to geospatial contexts. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume — Customize your application to highlight specific geospatial skills relevant to the role. ❌ Neglecting to showcase practical experience — Include relevant projects that demonstrate your GIS software proficiency. ❌ Overlooking clear documentation — Provide concise descriptions of your past work to enhance understanding of your contributions. ❌ Submitting a generic cover letter — Personalize your approach to address Esri 's specific needs. ❌ Ignoring networking opportunities — Engage with professionals on platforms like LinkedIn to gain insights into the role. ❌ Not preparing for technical interviews — Focus on practicing relevant geospatial problems to boost your performance. Before You Apply — Checklist ✅ Research Esri 's products and recent developments to tailor your application effectively. ✅ Update your resume to reflect relevant skills and experiences that align with the job description. ✅ Prepare a portfolio showcasing your projects in geospatial analysis and data visualization. ✅ Ensure your LinkedIn profile is professional and highlights your qualifications and interests in geospatial data science. ✅ Practice common technical interview questions related to GIS and data science to boost confidence. ✅ Gather references from professors or previous employers who can vouch for your skills and work ethic. ✅ Review the application process on Esri 's careers page to understand submission requirements. ✅ Set reminders for application deadlines to ensure timely submission. Resume Tailoring & ATS Keywords for Product Engineer II – Geospatial Data Science Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Geospatial Analysis GIS Software Proficiency Data Visualization Remote Sensing Techniques Spatial Data Management Product Engineer Data Science Geoinformatics Spatial Analysis Software Development Client Engagement Performance Metrics Resume Tips for This Role Highlight relevant projects or internships that demonstrate your skills in geospatial analysis and GIS software. Emphasize teamwork and collaboration experiences, particularly in cross-functional settings. Include a portfolio link showcasing your work in data visualization or geospatial projects. Optimize your resume with keywords from the job description to improve ATS compatibility. Avoid including unrelated work experiences that do not showcase your technical skills or relevant qualifications. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Do not include unrelated experiences that do not highlight your geospatial skills or qualifications. How to Apply for Product Engineer II – Geospatial Data Science at Esri Apply Now — Esri Visit the Esri careers page and locate the Product Engineer II job listing. Prepare your resume according to the job requirements and upload it as instructed. Fill out the application form accurately, ensuring all required fields are completed. After submission, you can expect a confirmation email regarding your application status. Use the application tracking feature on the careers page to monitor your application progress. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Esri NexisGrow.com does not charge any fees for job applications. Esri Esri was founded in 1969 and has since grown into a leader in GIS technology , with its headquarters located in Redlands, California . The company operates in over 180 countries , showcasing its extensive global footprint and influence in the technology sector. At the core of Esri's offerings is the ArcGIS platform , which provides comprehensive tools for mapping and spatial analysis . This platform is widely utilized across various sectors, including urban planning , environmental science , and transportation , demonstrating its versatility and importance in modern data applications. The company culture at Esri emphasizes innovation and collaboration , earning a remarkable 4.5-star rating on Glassdoor . This high rating reflects employee satisfaction and engagement, supported by various programs aimed at professional development and community involvement. Recently, Esri has expanded its cloud capabilities, enhancing its offerings in geospatial data management and analysis. This initiative reflects the company's commitment to technological advancement and innovation in the field of geospatial technology . For freshers in technology, Esri presents a strong career launchpad, offering exposure to industry-leading technology and real-world applications of geospatial data science . Working at Esri allows new professionals to develop critical skills in a supportive environment, setting the stage for future success. Company Details Industry Technology Location New Delhi, Delhi, India Connect With Us Careers Apply Now Website 🔗 esri.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Product Engineer II – Geospatial Data Science at Esri? Eligibility Tap to expand + Answer Candidates with Bachelor's or Master's Degree in Computer Science, GIS, Geoinformatics, Data Science, Geography, Remote Sensing, Engineering, or Related Field and 2+ years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Geospatial Analysis, GIS Software Proficiency, Data Visualization, Remote Sensing Techniques, Spatial Data Management. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹12–20 LPA*. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Esri? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Geospatial Analysis, GIS Software Proficiency, Data Visualization, Remote Sensing Techniques, Spatial Data Management. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Product Engineer II – Geospatial Data Science interview? Preparation Tap to expand + Answer (1) Core concepts of Geospatial Analysis, GIS Software Proficiency, Data Visualization, Remote Sensing Techniques, Spatial Data Management, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Esri research, (5) Clear communication. ? What is the work culture like at Esri? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in New Delhi Browse all Tech jobs Latest Fresher jobs More jobs at Esri Work From Home jobs Ready to Apply? Don't Miss This Opportunity! 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