66 Gdal Jobs - Page 3

AI/ML ENGINEER Who We Are? Cleantech Industry Resources accelerates United States solar, battery storage and EV projects by providing turnkey development as a service including 100% internal systems engineering. The company deploys a leading team that spun out of the largest solar power producer in the world. This team operates within a sophisticated suite of software to support projects from land origination, through to commercial operation. Location Chennai What We Offer Opportunity to join a top-notch, collaborative team of professionals Fantastic team environment and collaborative culture Professional development opportunities to grow into an industry leader Medical Insurance for the employee and family Spot Recognition bonus for exceptional performance Long Term Incentive policy Regular team outings, events, and activities to foster a positive work environment Our Commitment to Diversity At CIR, we are dedicated to nurturing a diverse and equitable workforce that truly reflects our community. We deeply value each person’s unique perspective, skills, and experiences. CIR embraces all individuals, regardless of race, religion, sexual orientation, gender identity, age, or nationality. We are steadfast in our commitment to fostering a just and inclusive world through intentional policies and actions. Your individuality enriches our collective strength, and we strive to ensure everyone feels respected, valued, and empowered. Position Summary We are looking for an AI/ML Engineer to build and optimize machine learning models for GIS-based spatial analysis and data-driven decision-making. This role involves working on geospatial AI models, data pipelines, and Retrieval-Augmented Generation (RAG)-based applications for zoning, county sentiment analysis, and regulatory insights. The engineer will also work closely with the data team, leading efforts in data curation and building robust data pipelines to collect, preprocess, and analyse extensive datasets from various geospatial and regulatory sources to generate automated reports and insights. Core Responsibilities Machine Learning for GIS & Spatial Analysis: Develop and deploy ML models for geospatial data processing, forecasting, and automated GIS insights. Work with large-scale geospatial datasets (e.g., satellite imagery, shapefiles, raster/vector data). Create AI models for land classification, feature detection, and geospatial pattern analysis. Optimize spatial data pipelines and build predictive models for environmental and energy sector applications. Retrieval-Augmented Generation (RAG) & NLP Development: Develop RAG-based AI applications to extract insights from zoning, permitting, and regulatory documents. Build LLM-based applications for zoning law interpretation, county sentiment analysis, and compliance predictions. Implement document retrieval and summarization techniques for legal, policy, and energy development reports. Data Engineering & Pipeline Development: Lead the creation of ETL pipelines to collect and preprocess geospatial data for ML model training. Work with PostGIS, PostgreSQL, and cloud storage to manage structured and unstructured data. Collaborate with the data team to design and implement efficient data processing and storage solutions. AI Model Optimization & Deployment: Fine-tune LLMs for domain-specific applications in renewable energy and urban planning. Deploy AI models using cloud-based MLOps frameworks (AWS, GCP, Azure). Optimize ML model inference for real-time GIS applications and geospatial data analysis. Collaboration & Continuous Improvement: Work with cross-functional teams to ensure seamless AI integration with existing business processes. Engage in knowledge sharing and mentoring within the company. Stay updated with latest advancements in AI, GIS, and NLP to improve existing models and solutions. Education Requirements Master’s in Computer Science, Data Science, Machine Learning, Geostatistics, or related fields. Technical Skills and Experience Software Proficiency: Programming: Python (TensorFlow, PyTorch, scikit-learn, pandas, NumPy), SQL. Machine Learning & AI: Deep learning, NLP, retrieval-based AI, geospatial AI, predictive modeling. GIS & Spatial Data Processing: Experience with PostGIS, GDAL, GeoPandas, QGIS, Google Earth Engine. LLM & RAG Development: Experience in fine-tuning LLMs, retrieval models, vector databases (FAISS, Weaviate). Cloud & MLOps: AWS/GCP/Azure, Docker, Kubernetes, MLflow, FastAPI. Big Data Processing: Experience with large-scale data mining, data annotation, and knowledge graph techniques. Database & Storage: PostgreSQL, NoSQL, vector databases, cloud storage solutions. Communication: Strong ability to explain complex AI/ML concepts to non-technical stakeholders. Project Management: Design experience in projects from conception to implementation. Ability to coordinate with other engineers and stakeholders. Renewable Energy Systems: Understanding of solar energy systems and their integration into existing infrastructure Experience 2-4 years of experience Experience in developing AI for energy sector, urban planning, or environmental analysis. Strong understanding of potential prediction, zoning laws, and regulatory compliance AI applications. Familiarity with spatiotemporal ML models and satellite-based geospatial analytics. Psychosocial Skills /Human Skills/Behavioural Skills Strong analytical, organizational, and problem-solving skills. Management experience a plus. Must be a go-getter with an enterprising attitude A self-starter, able to demonstrate high levels of initiative and motivation Entrepreneurial mindset with the ability to take ideas and run with them from concept to conclusion. Technical understanding of clean energy business processes Exceptional verbal and writing communication skills with superiors, peers, partners, and other stakeholders. Excellent interpersonal skills while managing multiple priorities in a fast-paced and ever-changing environment. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. The physical demands of this job require an individual to be able to work at a computer for most of the day, be able to participate in conference calls and travel to team retreats on a time-to-time basis. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work Conditions The work environment is usually quiet (normal city traffic noises are common), a blend of artificial and natural light, temperate and generally supports a collaborative work environment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Equal Opportunity Employer At Cleantech Industry Resources, we embrace diversity and uphold a strong dedication to establishing an all-encompassing atmosphere for both our staff and associates. Our choices in employment are free from any bias related to race, creed, nationality, ethnicity, gender, sexual orientation, gender identity, gender expression, age, physical limitations, veteran status, or any other legally safeguarded attributes. Being an integral part of Cleantech Industry Resources means you can expect to be immersed in a realm of professional possibilities within a culture that nurtures teamwork, adaptability, and the embracing of all.

Job Summary We are seeking a highly experienced GeoSpatial Developer with 15 to 17 years of experience in Java and API development. The ideal candidate will work in a hybrid model during day shifts and will not require travel. This role involves developing and maintaining geospatial applications that drive our companys mission to deliver innovative solutions to our clients. Responsibilities Develop and maintain geospatial applications using Java and related technologies Design and implement APIs to integrate geospatial data with other systems Collaborate with cross-functional teams to gather and analyze requirements Provide technical expertise in geospatial data processing and analysis Ensure the performance quality and responsiveness of applications Troubleshoot and resolve complex technical issues in a timely manner Conduct code reviews to ensure adherence to best practices and coding standards Stay updated with the latest industry trends and technologies in geospatial development Mentor and guide junior developers in the team Create and maintain technical documentation for developed applications Optimize application performance and scalability Participate in agile development processes including sprint planning and retrospectives Contribute to the continuous improvement of development processes and methodologies Qualifications Extensive experience in Java programming and API development Strong knowledge of geospatial data processing and analysis techniques Proficiency in using geospatial tools and libraries such as GDAL GeoTools or similar Experience with relational and non-relational databases Familiarity with cloud platforms and services for geospatial applications Excellent problem-solving and analytical skills Strong communication and collaboration abilities Ability to work independently and as part of a team Knowledge of agile development methodologies Experience with version control systems such as Git Understanding of software development lifecycle and best practices Ability to mentor and guide junior team members Commitment to continuous learning and improvement. Certifications Required Certified Java Developer Certified Geospatial Information Systems Professional

Overview Are you passionate about geospatial data and want to contribute to cutting-edge AI research at scale? The GeoAI Data Science team at Esri’s R&D Center in New Delhi is seeking a motivated and detail-oriented GIS Analyst to support the development and maintenance of our growing library of pretrained deep learning models. As a GIS Analyst, you will play a vital role in the collection, curation, and management of geospatial datasets used in training AI models for a wide range of applications—from building footprint extraction to oil spill detection and beyond. If you are organized, analytical, and enthusiastic about enabling large-scale geospatial AI research through robust data workflows and documentation, this role is for you. Responsibilities Design and automate robust geospatial data pipelines for ingesting, preprocessing, and transforming large-scale raster and vector datasets Script workflows to curate, cleanse, merge, and reconcile heterogeneous geospatial data from multiple sources (satellite and aerial imagery, vector datasets, and more) Develop tools/scripts to ensure spatial/temporal consistency, projection alignment, and format interoperability Format, index, and store datasets systematically to support training and evaluation of GeoAI models Assist in the creation of large-scale training datasets for deep learning projects Collaborate with ML engineers to support automated retraining pipelines and data augmentation strategies Analyze datasets to evaluate coverage, balance, and feasibility for model training and generalization Maintain internal datasets, catalogs, and documentation with a focus on reusability and QA/QC protocols Collaborate with product engineers and data scientists to develop training materials and documentation to assist the growing GeoAI user base Provide technical support to internal and external users working with pretrained models or contributing datasets Requirements 2 to 6 years of experience working with geospatial datasets, including data preparation and labeling for machine learning or GIS applications Proficiency in Python scripting for automation of geospatial data processing pipelines and familiarity with packages like GDAL, rasterio, geopandas, pandas, NumPy, and Pyproj Experience working with ArcGIS Pro and/or Python-based open-source geospatial stacks (such as QGIS, GeoPandas, Earth Engine) Strong organizational skills, with attention to data structuring, version control, and pipeline monitoring Ability to document workflows clearly and communicate technical information effectively A proactive mindset, with the ability to work independently and manage multiple data-related tasks simultaneously Bachelor’s degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Existing work authorization for India Recommended Qualifications Master’s degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Experience working with satellite or aerial imagery, and large vector datasets; understanding of SAR and hyperspectral data is a bonus Familiarity with AI/ML workflows and model training pipelines Experience working on geospatial data labeling/annotation pipelines, especially in ML training workflows Familiarity with cloud-based geospatial data storage or compute frameworks (such as Google Earth Engine, AWS S3, STAC) About Esri At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here. If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance. Requisition ID: 2025-2702

Overview Are you passionate about geospatial data and want to contribute to cutting-edge AI research at scale? The GeoAI Data Science team at Esri's R&D Center in New Delhi is seeking a motivated and detail-oriented GIS Analyst to support the development and maintenance of our growing library of pretrained deep learning models. As a GIS Analyst, you will play a vital role in the collection, curation, and management of geospatial datasets used in training AI models for a wide range of applications—from building footprint extraction to oil spill detection and beyond. If you are organized, analytical, and enthusiastic about enabling large-scale geospatial AI research through robust data workflows and documentation, this role is for you. Responsibilities Design and automate robust geospatial data pipelines for ingesting, preprocessing, and transforming large-scale raster and vector datasets Script workflows to curate, cleanse, merge, and reconcile heterogeneous geospatial data from multiple sources (satellite and aerial imagery, vector datasets, and more) Develop tools/scripts to ensure spatial/temporal consistency, projection alignment, and format interoperability Format, index, and store datasets systematically to support training and evaluation of GeoAI models Assist in the creation of large-scale training datasets for deep learning projects Collaborate with ML engineers to support automated retraining pipelines and data augmentation strategies Analyze datasets to evaluate coverage, balance, and feasibility for model training and generalization Maintain internal datasets, catalogs, and documentation with a focus on reusability and QA/QC protocols Collaborate with product engineers and data scientists to develop training materials and documentation to assist the growing GeoAI user base Provide technical support to internal and external users working with pretrained models or contributing datasets Requirements 2 to 6 years of experience working with geospatial datasets, including data preparation and labeling for machine learning or GIS applications Proficiency in Python scripting for automation of geospatial data processing pipelines and familiarity with packages like GDAL, rasterio, geopandas, pandas, NumPy, and Pyproj Experience working with ArcGIS Pro and/or Python-based open-source geospatial stacks (such as QGIS, GeoPandas, Earth Engine) Strong organizational skills, with attention to data structuring, version control, and pipeline monitoring Ability to document workflows clearly and communicate technical information effectively A proactive mindset, with the ability to work independently and manage multiple data-related tasks simultaneously Bachelor's degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Existing work authorization for India Recommended Qualifications Master's degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Experience working with satellite or aerial imagery, and large vector datasets; understanding of SAR and hyperspectral data is a bonus Familiarity with AI/ML workflows and model training pipelines Experience working on geospatial data labeling/annotation pipelines, especially in ML training workflows Familiarity with cloud-based geospatial data storage or compute frameworks (such as Google Earth Engine, AWS S3, STAC) #LI-Hybrid #LI-PK1 The Company At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here. If you don't meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

Overview Are you passionate about geospatial data and want to contribute to cutting-edge AI research at scale? The GeoAI Data Science team at Esri's R&D Center in New Delhi is seeking a motivated and detail-oriented GIS Analyst to support the development and maintenance of our growing library of pretrained deep learning models. As a GIS Analyst, you will play a vital role in the collection, curation, and management of geospatial datasets used in training AI models for a wide range of applications—from building footprint extraction to oil spill detection and beyond. If you are organized, analytical, and enthusiastic about enabling large-scale geospatial AI research through robust data workflows and documentation, this role is for you. Responsibilities Design and automate robust geospatial data pipelines for ingesting, preprocessing, and transforming large-scale raster and vector datasets Script workflows to curate, cleanse, merge, and reconcile heterogeneous geospatial data from multiple sources (satellite and aerial imagery, vector datasets, and more) Develop tools/scripts to ensure spatial/temporal consistency, projection alignment, and format interoperability Format, index, and store datasets systematically to support training and evaluation of GeoAI models Assist in the creation of large-scale training datasets for deep learning projects Collaborate with ML engineers to support automated retraining pipelines and data augmentation strategies Analyze datasets to evaluate coverage, balance, and feasibility for model training and generalization Maintain internal datasets, catalogs, and documentation with a focus on reusability and QA/QC protocols Collaborate with product engineers and data scientists to develop training materials and documentation to assist the growing GeoAI user base Provide technical support to internal and external users working with pretrained models or contributing datasets Requirements 2 to 6 years of experience working with geospatial datasets, including data preparation and labeling for machine learning or GIS applications Proficiency in Python scripting for automation of geospatial data processing pipelines and familiarity with packages like GDAL, rasterio, geopandas, pandas, NumPy, and Pyproj Experience working with ArcGIS Pro and/or Python-based open-source geospatial stacks (such as QGIS, GeoPandas, Earth Engine) Strong organizational skills, with attention to data structuring, version control, and pipeline monitoring Ability to document workflows clearly and communicate technical information effectively A proactive mindset, with the ability to work independently and manage multiple data-related tasks simultaneously Bachelor's degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Existing work authorization for India Recommended Qualifications Master's degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Experience working with satellite or aerial imagery, and large vector datasets; understanding of SAR and hyperspectral data is a bonus Familiarity with AI/ML workflows and model training pipelines Experience working on geospatial data labeling/annotation pipelines, especially in ML training workflows Familiarity with cloud-based geospatial data storage or compute frameworks (such as Google Earth Engine, AWS S3, STAC) #LI-Hybrid #LI-PK1 The Company At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here. If you don't meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

Job Description GalaxEye Space, is a deep-tech Space start-up spun off from IIT-Madras and is currently based in Bengaluru, Karnataka. We are dedicated to advancing the frontiers of space exploration. Our mission is to develop cutting-edge solutions that address the challenges of the modern space industry by specialising in developing a constellation of miniaturised, multi-sensor SAR+EO satellites. Our new age technology enables all-time, all-weather imaging, this with leveraging advanced processing and AI capabilities, we ensure near real-time data delivery and are glad to highlight that we have successfully demonstrated these imaging capabilities, the first of its kind in the world, across various platforms such as Drones as well as HAPS (High-Altitude Pseudo Satellites). Responsibilities Lead and preprocess multi-temporal EO SAR imagery; run the packaged change-detection application on real client datasets Interpret algorithm outputs (change masks, confidence scores);generate value-oriented deliverables such as annotated maps, dashboards, and case-study reports Document edge cases, false positives/negatives, and usability pain points; propose workflow or UI enhancements for future sprints Assist the Software engineers in tuning configuration parameters and validating metric improvements against QC baselines Capture domain-specific requirements from client stakeholders and translate them into structured tickets or product-feature briefs Provide training sessions and quick-reference guides for end-users Requirements 2-3 yrs hands-on with remote-sensing analytics Basic understanding of working and Analysing Geospatial datasets Proficiency in QGIS/ArcGIS, GDAL/Rasterio Ability to communicate technical findings to non-technical stakeholders through compelling visuals and concise narratives Basic familiarity with YAML/JSON configs, Git, and CLI toolchains to support iterative testing Extremely good with documentation and presentation in a disciplined manner Additional Skillset Experience with optical + SAR data fusion, time-series analysis, or machine-learning model evaluation Exposure to React-based front ends or UX feedback loops for geospatial applications Benefits Acquire valuable opportunities for learning and development through close collaboration with the founding team. Contribute to impactful projects and initiatives that drive meaningful change. We provide a competitive salary package that aligns with your expertise and experience. Enjoy comprehensive health benefits, including medical, dental, and vision coverage, ensuring the well-being of you and your family. Work in a dynamic and innovative environment alongside a dedicated and passionate team. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#5BBD6E;border-color:#5BBD6E;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Job Description GalaxEye Space, is a deep-tech Space start-up spun off from IIT-Madras and is currently based in Bengaluru, Karnataka. We are dedicated to advancing the frontiers of space exploration. Our mission is to develop cutting-edge solutions that address the challenges of the modern space industry by specialising in developing a constellation of miniaturised, multi-sensor SAR+EO satellites. Our new age technology enables all-time, all-weather imaging, this with leveraging advanced processing and AI capabilities, we ensure near real-time data delivery and are glad to highlight that we have successfully demonstrated these imaging capabilities, the first of its kind in the world, across various platforms such as Drones as well as HAPS (High-Altitude Pseudo Satellites). Responsibilities Collaborate with the Bangalore team to accelerate the development of the product Install, configure, and execute packaged Python + React applications on an air-gapped system, isolated from the network Run automated & manual QC/benchmark suites on geospatial datasets, compare against target metrics, and document results Diagnose failures / performance gaps; tweak YAML/JSON configuration parameters, model checkpoints, and resource settings to hit accuracy & latency targets Generate concise diffs / patch files and reproducible reports for the backend team; participate in rapid iteration cycles Automate local environment set-up via scripts (e.g., PowerShell, Bash, Ansible) and maintain a minimal local PyPI / npm cache Pair with the Geospatial Analyst to validate outputs and capture edge- case feedback from real client data Requirements 2-3 yrs building and debugging full-stack apps (Python 3, FastAPI/Flask, React, Electron, Node) Solid grasp of packaging & deployment: PyInstaller/Briefcase, npm scripts, semantic versioning, checksum-based release manifests Comfort with offline dependency management (wheelhouses, npm offline cache) and Git-based change control Strong test mindset: pytest, Playwright, snapshot testing, CI pipelines (GitHub Actions, GitLab CI, or similar) Additional Skillset Any prior experience or exposure to image processing or computer vision Experience with Geospatial data formats (SAFE, CEOS, GeoTIFF) and GDAL/Rasterio Benefits Acquire valuable opportunities for learning and development through close collaboration with the founding team. Contribute to impactful projects and initiatives that drive meaningful change. We provide a competitive salary package that aligns with your expertise and experience. Enjoy comprehensive health benefits, including medical, dental, and vision coverage, ensuring the well-being of you and your family. Work in a dynamic and innovative environment alongside a dedicated and passionate team. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#5BBD6E;border-color:#5BBD6E;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> Show more Show less

🚀 We’re Hiring: Electronics & Communication Engineers Focus: RF Data Analytics · Radar Signal Processing · Electronic Warfare | Experience: 1 – 5 yrs | Age Limit: ≤ 30 yrs Why join Crimson? Work on next-generation radar and EW programs that safeguard critical national assets. Turn terabytes of raw I/Q captures into real-time intelligence alongside cross-functional experts. Ship your code from lab prototype to live field deployment and see immediate impact. What you’ll do Acquire – Automate high-throughput downloads, cataloguing and integrity checks of multi-gigabyte RF datasets. Clean & Sanitize – Write Python/Matlab routines for noise filtering, interference rejection and metadata standardisation. Transform – Build DSP modules to demodulate, resample and convert raw I/Q streams into emitter-level feature vectors. Ingest – Design robust ETL workflows into local and shared SQL/NoSQL databases with geospatial indexing. Analyse – Produce geospatial heat-maps, time-frequency plots and anomaly alerts that drive mission decisions. Present – Craft dashboards and concise reports that translate complex RF metrics into clear operational insight. Maintain – Handle routine calibration of RF front-ends, firmware upgrades and Linux/GPU server upkeep. Must-have qualifications Degree: M.Tech / ME / B.Tech / BE / M.Sc. in ECE, Telecom, Signal Processing, Radar Tech, Defence Electronics, or MCA with strong tech focus. Experience: 1 – 5 yrs hands-on with electronics, communications or signal-processing systems. Core knowledge: Electronic Support Measures (ESM), radar theory, communication waveforms, RF chain components. Tools: Matlab (or equivalent), Python (NumPy, SciPy, Pandas, PyTorch/SciKit-DSP-Comm), Git, Docker, Linux. Data skills: Building ETL pipelines, designing database schemas and basic DevOps practices. Nice-to-have superpowers GNU Radio and SDRs (USRP, HackRF) or Keysight/NI test equipment. REST API development with FastAPI or Flask. Geospatial tooling (GDAL, PostGIS, QGIS, ArcGIS). Familiarity with MIL-STD metadata formats (ST 0601/0603, ASTERIX) and radar messaging. Defence-sector clearance eligibility and a passion for national-security tech. What we offer Mission impact: Direct contribution to nationally strategic programmes with tangible outcomes. Growth runway: Sponsored certifications (DSP, EW, cloud), conference travel and mentoring from senior defence scientists. Cutting-edge lab: Petabyte-scale RF archive, GPU clusters and dedicated SDR testbeds. Competitive package: Market-aligned salary, performance bonus, medical & accident insurance, 30 days paid leave. How to apply Prepare your CV (PDF) and a one-page cover letter describing an RF or large-scale data-pipeline project you’ve handled. Deadline: 11 June 2025 (rolling reviews — apply early for priority). Show more Show less

Description Amazon’s Last Mile Analytics & Quality Maps team is building geospatial infrastructure to power the Last Mile delivery network that will deliver packages to hundreds of millions of customers around the world. The Amazon Maps Data team builds systems that model the real world to enable routing for drivers. The GIS team works cross-functionally to seamlessly curate and enhance last mile delivery network and geospatial data quality. Our team is seeking a passionate and data-driven GIS Program Manager to lead our efforts in enhancing driver experience and operational efficiency through advanced spatial analysis. This role is inherently cross-functional- you will work closely with engineering, operations, business intelligence and other teams on last mile delivery challenges. Through close collaboration and by conducting analysis using spatial techniques and data visualizations, you will drive these challenges to resolution. The ideal candidate has a background of GIS expertise, logistics understanding, project management skills, and a strong customer-centric approach to drive improvements in last-mile delivery. This job will require strong communication skills while having the ability to work independently in a high pressure, and often ambiguous, work environment. Passion and drive for customer service is a must. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience, and get the right things done. Key job responsibilities Program manage GIS-based solutions for last-mile delivery challenges, through problem identification, scoping, creating and delivering long-term solutions, cross collaborating with technology, product, program, business, and operations teams. Serve as a subject matter expert in GIS applications and Geospatial (or spatial) analysis, spatial data visualization to various teams like technology, product, program, business, and operations. Develop and implement strategies for continuous map updates and improvements based on driver feedback, delivery data, and emerging GIS technologies. Coordinate cross-functional projects to standardize GIS procedures and eliminate root causes for map data inaccuracies within current systems. Extract valuable insights from spatial and non-spatial data sets using GIS tools and techniques Support Map data evaluations and quality assessment through insight sharing Basic Qualifications 2+ years of program or project management experience Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent Experience with spatial analysis, GIS tools (QGIS etc.) and data visualization Experience in SQL and any scripting languages (Python, JavaScript) Preferred Qualifications Worked on proprietary and open source GIS libraries like GDAL, OGR, Geo Tools Working experience on front end web map application development with Leaflet, Typescript, Open Layers Knowledge on Map Navigation models like OSM and managing open source spatial databases like Post GIS Experience in requirement gathering and ability to write clear and detailed requirement document Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 13 SEZ - H84 Job ID: A2947677 Show more Show less

--POSITION OPEN FOR IMMEDIATE JOINERS ONLY-- --THOSE WHO HAVE APPLIED EARLY, NO NEED TO APPLY AGAIN-- Following selection criteria will be strictly followed - Graduated in 2020 or before 4+ YOE in the industry, excluding any career breaks Python or Java proficiency is a MUST Should be able to join in 30 days once the offer letter is released Budget - There is no budget cap for the right talent Location - Noida Tech Stack - GCP, Pub/Sub, Postgres/PostGIS, Redis, Django/FastAPI/Spring Boot, GDAL, Geoserver etc What will you be building? SiteRecon platform consists of GIS-based web applications, mobile applications, and several custom integrations - both tool-based and API-based to its customers. As a full-stack engineer, you would be responsible for owning feature deliveries encompassing several interfaces. That means - what's built, how's it built, and how to make it a success. You will have a team of dedicated engineers, sales experts, and marketing maestros who will work together with you to make the product and yourself successful. What are your responsibilities? Owning entire code bases, improving them over time, and killing tech debts Production systems - you will have full access to the end delivery systems. You will be talking about security issues, performance issues, and QA issues. Isn't that what complete ownership stands for? You make decisions and drive what's built in the future at SiteRecon. Whatever you need - tools, processes, people. Whatever makes the product great, you will have it all to make great software. A little bit about us - We are helping property maintenance contractors in the US to automate property mapping and site visits through our mapping platform - https://order.siterecon.ai/ Hiring Manager - https://www.linkedin.com/in/innovationchef/ Drop a note to ankit@siterecon.ai if you want to discuss more about what you would be doing! Show more Show less

Title Software Engineer Location: Multiple Locations Job Term: Full-Time The Opportunity: At Picarro, Software Engineering focuses on developing and deploying industry vertical applications to clients in the Scientific and Energy communities. This specific role is focused on the suite of solutions, such as greenhouse gas emissions quantification, pipe replacement, and advanced leak detection, used by our gas utility and pipeline customers. The majority have a web-based user interface, but the backend utilizes geoprocessing, data, and ML services. While the products are designed to meet the needs of the industry, they sit within Picaro's larger analytical suite/ distributed framework, so a wider collection of skills is desired. The software engineer participates in the design, programming, testing, documentation and implementation of applications and related processes/systems. You may also be required to identify and evaluate development options, assess future needs for key technologies and techniques and develop plans for adoption. This position reports to the GIS Software Development Manager. The position will be on site based out of our Bangalore, India office. Key Responsibilities: Work directly with product stakeholders and product management to understand product use cases and synthesize business requirements. Design, develop, and deploy high-performance multi-tenant dashboard applications using Dash Enterprise. Write production-quality code that creates responsive web applications. Handle multiple technical requests and project deadlines simultaneously. Collaborate daily with a global team of software engineers, data scientists, analysts, and product managers using a variety of online communication channels. Apply software development best practices including version control (Git), code review, and testing. Document technical detail of work using Jira and Confluence. Desired Skills and Experience: 8+ years of overall software development experience. 5+ years of experience developing responsive web applications using HTML, CSS, and JavaScript. 3+ years of Python experience, specifically in an object-oriented structure. Experience with common data analytics and visualization libraries such as Numpy, Pandas, Json, Sqlalchemy, Plotly, and/or Matplotlib. Experience with geospatial libraries such as Shapely, GeoPandas, GDAL/OGR, and PyProj are a plus. 1+ years with SQL for analytical use cases. 1+ years of experience with a modern web UI library, like React, Vue, Angular, or Svelte. 1+ years of experience developing web applications using Python. 1+ years of experience with at least one common data visualization tool such as Tableau, PowerBI, Qlik, or Dash Enterprise. 1+ years of cloud development (e.g. AWS, Azure, Google Cloud) and software container technologies (e.g. Docker, Kubernetes). Familiar with Agile methodologies and processes. Familiar with Gas Distribution company processes and/or pipeline and distribution network data. Bachelor or master's degree in computer science, engineering, GIS, geography, or related field. About Picarro: Picarro, Inc. is the world's leading producer of greenhouse gas and optical stable isotope instruments, which are used in a wide variety of scientific and industrial applications, including: atmospheric science, air quality, greenhouse gas measurements, gas leak detection, food safety, hydrology, ecology and more. The company's products are all designed and manufactured at Picarro's Santa Clara, California headquarters and exported to countries worldwide. Picarro's products are based on dozens of patents related to cavity ring-down spectroscopy (CRDS) technology. Picarro's solutions are unparalleled in their precision, ease of use, portability, and reliability. Honors awarded the Company include the World Economic Forum Technology Innovation Pioneer, IHS CERA Energy Innovation Pioneer, the U.S. Department of Energy Small Business of the Year, the TiE50 Winner and the Red Herring Global 100 Winner. Key investors include Benchmark Capital Partners, Greylock Management Corporation, Duff, Ackerman & Goodrich, Stanford University, Focus Ventures, Mingxin China Growth Ltd., NTT Finance and Weston Presidio Capital. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, nor on the basis of disability. Posted positions are not open to third party recruiters/agencies and unsolicited resume submissions will be considered free referral. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Picarro, Inc. at disabilityassistance@picarro.com for assistance. Show more Show less

Who We Are Brightly, the global leader in intelligent asset management solutions, enables organizations to transform the performance of their assets. Brightly’s sophisticated cloud-based platform leverages more than 20 years of data to deliver predictive insights that help users through the key phases of the entire asset lifecycle. More than 12,000 clients of every size worldwide depend on Brightly’s complete suite of intuitive software – including CMMS, EAM, Strategic Asset Management, IoT Remote Monitoring, Sustainability and Community Engagement. Paired with award-winning training, support and consulting services, Brightly helps light the way to a bright future with smarter assets and sustainable communities. About The Job Brightly Software continues to grow and needs amazing engineers. We are looking for a skilled Senior Software Engineer with a strong background in Geographic Information Systems (GIS) and expertise in Node.js. As an SSE in this role, you will be responsible for designing, developing, and maintaining advanced GIS-based software applications using Node.js to process, analyze, and visualize geospatial data. You will play a key role in building scalable, high-performance systems while collaborating with cross-functional teams to integrate geospatial data into modern web and backend systems. What You’ll Be Doing GIS Software Development: Lead the development of GIS solutions, leveraging Node.js to build APIs and backend services that interact with spatial data. Geospatial Data Integration: Integrate geospatial data sources (e.g., shapefiles, GeoJSON, raster data) into applications, ensuring accurate data processing and management. Node.js Application Development: Design and implement backend solutions using Node.js, focusing on performance, security, and scalability to process large geospatial datasets. API Development: Develop and maintain RESTful APIs that expose geospatial data and GIS services, ensuring smooth integration with other systems and frontend applications. Spatial Data Management: Optimize databases for handling geospatial data, utilizing PostGIS, MongoDB, or other spatial database technologies. Collaboration & Mentorship: Work closely with front-end developers, product managers, and other engineers to ensure GIS features meet business requirements. Mentor junior engineers, providing technical guidance and best practices. Performance Optimization: Continuously monitor and optimize GIS systems for performance, reliability, and data throughput. Documentation & Best Practices: Create and maintain clear technical documentation for geospatial APIs, services, and architectures. Ensure coding standards and best practices are followed. Continuous Learning: Stay up to date with emerging technologies and trends in both GIS and Node.js development to drive innovation in the team. Support our products, identify and fix root causes of production incidents, own troubleshooting and resolution of production issues across teams. Own discovery, solutioning, monitoring, incident resolution – imbibe and socialize DevOps mindset. Own product quality and work to quickly address production defects. Embed a DevOps mentality within the team. Serve as a senior member for your team as needed or special purpose projects per business priority. Identify & own coaching opportunities. Stay current with learning current trends in technology and mentor and guide junior engineers and interns. Partner with Tech Leads, architects, engineers, development managers, product managers, agile coaches across the engineering practice in an agile environment, with scrum implemented at scale globally. Driver in continuous improvement processes through metrics and feedback. Welcome, change and complexity. Learn quickly and adapt fast. Be a change leader! What You Need Bachelor’s or master’s degree in computer science, Geospatial Sciences, Geography, Engineering, or a related field. 5+ years of experience in software development, with at least 2-3 years focused on GIS applications. Strong experience with Node.js for backend development. Expertise in GIS technologies (ArcGIS, QGIS, GeoServer, MapServer, etc.) and spatial data formats (GeoJSON, KML, shapefiles). Experience with spatial databases (PostGIS, MongoDB with GeoJSON support, etc.). Solid understanding of RESTful API design and development. Advanced knowledge of Node.js and JavaScript (ES6+). Familiarity with geospatial libraries like GDAL, GeoPandas, Turf.js, or other JavaScript-based spatial libraries. Strong experience with version control systems like Git and agile development practices. Knowledge of cloud platforms (AWS, Azure) and deployment tools (Docker, Kubernetes) is a plus. Strong problem-solving abilities, with a focus on optimizing geospatial data handling and processing. Ability to communicate complex technical concepts to both technical and non-technical team members. A proactive team player who thrives in a collaborative environment. 3+ years’ unit testing, mocking frameworks, automation frameworks. DevOps mindset – 3+ years’ experience in CI/CD, SDLC environment, implemented exception handling, logging, monitoring, performance measurement, operational metrics knowledge. 3+ years’ experience working in agile methodologies (Scrum, Kanban) Strong communication, partnership, teamwork, and influencing skills required. Technologies: NodeJS/ NestJS Framework Messaging framework (ActiveMQ/Kafka) SQL Server/MySql/MongoDB or Postgres Javascript, jQuery, HTML, CSS Dockerization and Containerization Reactive programming Markup languages like XML/JSON/Yaml In depth knowledge of version tools like Git/Bitbucket Expertise in GIS technologies (ArcGIS, QGIS, GeoServer, MapServer, etc.) and spatial data formats (GeoJSON, KML, shapefiles). Experience with spatial databases (PostGIS, MongoDB with GeoJSON support, etc.). Bonus Points: Openshift/Kubernetes Open-source contribution, repositories, personal projects Participation in communities of interest, meetups Certifications in technology, agile methodologies Prior experience in agile implemented at scale across multiple teams globally Javascript, jQuery, HTML, CSS The Brightly culture Service. Ingenuity. Integrity. Together. These values are core to who we are and help us make the best decisions, manage change, and provide the foundations for our future. These guiding principles help us innovate, flourish and make a real impact in the businesses and communities we help to thrive. We are committed to the great experiences that nurture our employees and the people we serve while protecting the environments in which we live. Together we are Brightly Show more Show less

We are seeking a highly skilled Python Developer with a strong GIS background to join our team.The ideal candidate will be responsible for developing and maintaining web-based GIS applications, managing geospatial data workflows, and leveraging geospatial Python libraries to solve real-world spatial problems. Experience with Django, GDAL, and other Python-based geo libraries is a must. Key Responsibilities: Develop, maintain, and optimize GIS-based web applications using Python and Django. Work with geospatial data formats such as Shapefiles, GeoJSON, KML, and raster datasets. Utilize libraries such as GDAL, Fiona, Shapely, Rasterio, GeoPandas, and PyProj for data processing and spatial analysis. Integrate mapping solutions and visualization tools like Leaflet.js, OpenLayers, or Folium (optional). Develop and manage APIs for spatial data access and manipulation. Perform spatial analysis, data conversion, and coordinate system transformations. Write clean, scalable, and well-documented Python code. Collaborate with frontend developers, GIS analysts, and data engineers to implement features and resolve issues. Required Skills and Qualifications:Proficiency in Python with experience in geospatial programming. Hands-on experience with Django or similar web frameworks. Strong understanding of GIS concepts, spatial databases, and coordinate reference systems. Expertise in geospatial libraries such as: GDAL/OGR GeoPandas Shapely Fiona Rasterio PyProj Experience with spatial databases (PostgreSQL/PostGIS is a plus). Familiarity with RESTful APIs and integrating geospatial data services. Knowledge of data formats like GeoTIFF, GeoJSON, WKT, WKB. Ability to handle large spatial datasets efficiently. Experience- 2 years Salary - 4,00,000 - 6,00,000 Per annum (Negotiable) Show more Show less

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Geospatial Applications Developer The Geospatial Applications Developer will play a crucial part in designing, developing, and implementing GIS solutions using the full ESRI stack and other geospatial libraries and toolsets. You will leverage your experience with ArcGIS SDKs, web APIs, .NET, Python, and Spark to build robust, scalable, and innovative GIS applications that address complex geospatial challenges for our organization and clients. Key Responsibilities Develop, maintain, and enhance GIS applications using the ESRI suite of tools (ArcGIS SDKs, ArcGIS Enterprise, ArcGIS Online, etc.) or other geospatial libraries and toolsets as required (GDAL, Apache Sedona, Databricks Mosaic, etc.) Implement and customize web APIs for interactive mapping and geospatial data visualization Collaborate with cross-functional teams to design and architect solutions that integrate GIS functionalities into existing systems and workflows Create and optimize database structures to efficiently store and manage geospatial data Write clean, modular, and well-documented code in .NET and Python to support automation and data processing tasks Troubleshoot, debug, and resolve issues related to GIS applications, data, and performance Participate in code reviews, testing, and deployment processes to ensure high-quality software releases Stay up-to-date on emerging GIS technologies and industry best practices Required Skills And Experience Bachelor’s degree in Computer Science, Information Technology, Geospatial Science, or a related field. Proven experience with ArcGIS SDKs and ESRI web APIs Strong understanding of the full ESRI stack Experience in .NET (C#) for application development Experience in Python and the use of ArcPy for development of geoprocessing services on ArcGIS Enterprise GIS Server Demonstrated experience developing and deploying web GIS applications Solid knowledge of geospatial concepts (coordinate systems, projections, spatial analysis) Familiarity with relational databases and spatial databases (e.g., SQL Server, PostgreSQL/PostGIS) Excellent problem-solving and communication skills Preferred Skills And Experience Masters in degree in Computer Science, Information Technology, Geospatial Science, or a related field. Experience with cloud platforms (Azure, AWS) for hosting and managing GIS applications Knowledge of modern front-end frameworks (React/ Angular) for web development Experience with Spark and/or Databricks for distributed computing workloads Experience with Spark geospatial libraries and tools such as Apache Sedona, ESRI GeoAnalytics Engine, and/or Databricks Mosaic Experience with DevOps practices, SDLC, CI/CD pipelines, etc. Professional certifications in ESRI technologies Show more Show less

Who We Are Brightly, the global leader in intelligent asset management solutions, enables organizations to transform the performance of their assets. Brightly’s sophisticated cloud-based platform leverages more than 20 years of data to deliver predictive insights that help users through the key phases of the entire asset lifecycle. More than 12,000 clients of every size worldwide depend on Brightly’s complete suite of intuitive software – including CMMS, EAM, Strategic Asset Management, IoT Remote Monitoring, Sustainability and Community Engagement. Paired with award-winning training, support and consulting services, Brightly helps light the way to a bright future with smarter assets and sustainable communities. About The Job Brightly Software continues to grow and needs amazing engineers. We are looking for a skilled Senior Software Engineer with a strong background in Geographic Information Systems (GIS) and expertise in Node.js. As an SSE in this role, you will be responsible for designing, developing, and maintaining advanced GIS-based software applications using Node.js to process, analyze, and visualize geospatial data. You will play a key role in building scalable, high-performance systems while collaborating with cross-functional teams to integrate geospatial data into modern web and backend systems. What You’ll Be Doing GIS Software Development: Lead the development of GIS solutions, leveraging Node.js to build APIs and backend services that interact with spatial data. Geospatial Data Integration: Integrate geospatial data sources (e.g., shapefiles, GeoJSON, raster data) into applications, ensuring accurate data processing and management. Node.js Application Development: Design and implement backend solutions using Node.js, focusing on performance, security, and scalability to process large geospatial datasets. API Development: Develop and maintain RESTful APIs that expose geospatial data and GIS services, ensuring smooth integration with other systems and frontend applications. Spatial Data Management: Optimize databases for handling geospatial data, utilizing PostGIS, MongoDB, or other spatial database technologies. Collaboration & Mentorship: Work closely with front-end developers, product managers, and other engineers to ensure GIS features meet business requirements. Mentor junior engineers, providing technical guidance and best practices. Performance Optimization: Continuously monitor and optimize GIS systems for performance, reliability, and data throughput. Documentation & Best Practices: Create and maintain clear technical documentation for geospatial APIs, services, and architectures. Ensure coding standards and best practices are followed. Continuous Learning: Stay up to date with emerging technologies and trends in both GIS and Node.js development to drive innovation in the team. Support our products, identify and fix root causes of production incidents, own troubleshooting and resolution of production issues across teams. Own discovery, solutioning, monitoring, incident resolution – imbibe and socialize DevOps mindset. Own product quality and work to quickly address production defects. Embed a DevOps mentality within the team. Serve as a senior member for your team as needed or special purpose projects per business priority. Identify & own coaching opportunities. Stay current with learning current trends in technology and mentor and guide junior engineers and interns. Partner with Tech Leads, architects, engineers, development managers, product managers, agile coaches across the engineering practice in an agile environment, with scrum implemented at scale globally. Driver in continuous improvement processes through metrics and feedback. Welcome, change and complexity. Learn quickly and adapt fast. Be a change leader! What You Need Bachelor’s or master’s degree in computer science, Geospatial Sciences, Geography, Engineering, or a related field. 5+ years of experience in software development, with at least 2-3 years focused on GIS applications. Strong experience with Node.js for backend development. Expertise in GIS technologies (ArcGIS, QGIS, GeoServer, MapServer, etc.) and spatial data formats (GeoJSON, KML, shapefiles). Experience with spatial databases (PostGIS, MongoDB with GeoJSON support, etc.). Solid understanding of RESTful API design and development. Advanced knowledge of Node.js and JavaScript (ES6+). Familiarity with geospatial libraries like GDAL, GeoPandas, Turf.js, or other JavaScript-based spatial libraries. Strong experience with version control systems like Git and agile development practices. Knowledge of cloud platforms (AWS, Azure) and deployment tools (Docker, Kubernetes) is a plus. Strong problem-solving abilities, with a focus on optimizing geospatial data handling and processing. Ability to communicate complex technical concepts to both technical and non-technical team members. A proactive team player who thrives in a collaborative environment. 3+ years’ unit testing, mocking frameworks, automation frameworks. DevOps mindset – 3+ years’ experience in CI/CD, SDLC environment, implemented exception handling, logging, monitoring, performance measurement, operational metrics knowledge. 3+ years’ experience working in agile methodologies (Scrum, Kanban) Strong communication, partnership, teamwork, and influencing skills required. Technologies NodeJS/ NestJS Framework Messaging framework (ActiveMQ/Kafka) SQL Server/MySql/MongoDB or Postgres Javascript, jQuery, HTML, CSS Dockerization and Containerization Reactive programming Markup languages like XML/JSON/Yaml In depth knowledge of version tools like Git/Bitbucket Expertise in GIS technologies (ArcGIS, QGIS, GeoServer, MapServer, etc.) and spatial data formats (GeoJSON, KML, shapefiles). Experience with spatial databases (PostGIS, MongoDB with GeoJSON support, etc.). Bonus Points Openshift/Kubernetes Open-source contribution, repositories, personal projects Participation in communities of interest, meetups Certifications in technology, agile methodologies Prior experience in agile implemented at scale across multiple teams globally Javascript, jQuery, HTML, CSS The Brightly culture Service. Ingenuity. Integrity. Together. These values are core to who we are and help us make the best decisions, manage change, and provide the foundations for our future. These guiding principles help us innovate, flourish and make a real impact in the businesses and communities we help to thrive. We are committed to the great experiences that nurture our employees and the people we serve while protecting the environments in which we live. Together we are Brightly Show more Show less

Experience: 58 years Start Date: Immediate or within 15 days Employment Type: Contract Full-time (as applicable) Job Overview We are seeking highly skilled GIS Data Engineers with strong expertise in Python , PySpark , and geospatial data processing to support the integration and analysis of spatial datasets. The selected candidates will work on large-scale data engineering projects in a distributed environment, focusing on building pipelines and workflows that support geospatial analytics and visualization. Key Responsibilities Develop and maintain scalable ETL pipelines using PySpark and Python for processing GIS and spatial datasets Work with large geospatial datasets from various sources (e.g., shapefiles, GeoJSON, raster formats, satellite data) Integrate geospatial data with enterprise systems (e.g., PostgreSQL/PostGIS, Big Data platforms) Optimize queries and data transformations for performance and accuracy Collaborate with data scientists, GIS analysts, and business users to deliver data solutions Implement best practices for data quality, versioning, and lineage in spatial data pipelines Troubleshoot data issues and support production data workflows Required Skills Strong hands-on experience with PySpark (Apache Spark with Python) Advanced Python programming skills, especially in data handling and automation Experience with geospatial libraries such as GeoPandas, Shapely, Fiona, Rasterio, or GDAL Proficient in working with GIS formats (shapefiles, raster data, GeoTIFFs, KML, etc.) Knowledge of spatial databases like PostGIS or GeoServer Hands-on experience with data lakes, big data processing, and cloud platforms (Azure/AWS/GCP preferred) Strong understanding of data structures, algorithms, and spatial indexing Nice To Have Familiarity with MapReduce, Hive, or Databricks Prior experience in geospatial analytics, remote sensing, or urban planning domains Knowledge of DevOps, CI/CD pipelines, and containerization tools (Docker, Kubernetes) Soft Skills Excellent communication and collaboration abilities Problem-solving mindset and attention to detail Ability to work independently in a client-facing onsite role Skills : postgis,rasterio,azure,gcp,shapely,fiona,big data platforms,pyspark,gis,geopandas,gdal,aws,python