Lead development and optimization of automated geospatial QA pipelines to validate ETL and map data against SD/HD specifications. Collaborate with Data Science to integrate ML validation signals, perform spatial integrity checks, automate annotation and ingestion validations, and drive continuous improvement. Document procedures, enforce testing standards across distributed teams, and provide mentorship on scripting, geospatial processing, and cloud-based validation workflows.
What's the role?
The Sr. Quality Engineer will advance the maturity of quality engineering practices by applying spatial data engineering techniques to validate data quality across extraction, transformation, and loading stages using automated geospatial workflows. Key responsibilities include supporting and extending workflows for testing and validation purposes. Partner with Data Science teams for the development of geospatial machine-learning models for advanced quality evaluation in accordance with SD/HD Map specifications.
Main Responsibilities
Who are you?
Coupling the skills above with strong internal attribute domain knowledge, advanced analytical abilities, and deep understanding of HERE's product ecosystem is a significant advantage.
What Do We Offer?
At HERE, you will work on globally impactful products in a collaborative and inclusive environment. We support continuous learning, professional growth, and cross-team collaboration, while offering opportunities to contribute to innovative, data-driven solutions that improve how people move and live.
HERE Technologies is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity, sexual orientation, age, or disability.
Who are we?
HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.
At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.
You will be part of HERE's Quality Engineering organization, focused on ensuring next-generation map products meet high-quality standards through scalable automation, spatial data engineering, and data-driven validation. The team partners closely with Data Science, Product, and Engineering to continuously evolve geospatial quality frameworks
The Sr. Quality Engineer will advance the maturity of quality engineering practices by applying spatial data engineering techniques to validate data quality across extraction, transformation, and loading stages using automated geospatial workflows. Key responsibilities include supporting and extending workflows for testing and validation purposes. Partner with Data Science teams for the development of geospatial machine-learning models for advanced quality evaluation in accordance with SD/HD Map specifications.
Main Responsibilities
- Technical Subject Matter Expert (SME) for spatial data models and automated geospatial quality-testing methodologies adhering to SD/HD map specifications
- Plan, schedule, and oversee automated data annotation, spatial integrity checks, and validation tasks aligned with Product Testing frameworks and evolving testing requirements.
- Implement, and optimize automated QA pipelines using geospatial processing frameworks.
- Integrating machine learning-powered validation signals by collaborating with Data Science to integrate outputs from spatial ML models for anomaly detection, classification, feature validation, and predictive quality scoring.
- Integrate and validate API d-riven ingestion processes within the quality framework including JSON/XML parsing, schema validation, and automated integration with internal and external data sources.
- Lead continuous improvement efforts of system inefficiencies via root cause- analyses, and engineering enhancement to improve automation efficiency in testing workflows.
- Develop, document, and enforce technical testing procedures, ensuring consistency, repeatability, and compliance across global teams and distributed test environments.
- Provide technical training and mentorship to internal and external contributors on advanced scripting, automation tools, geospatial processing techniques, and cloud based validation workflows.
Who are you?
- Bachelor's degree required; GIS/Geography, Computer Science, Engineering, Data Science, or related fields preferred.
- 7+ years of experience in geospatial quality testing, spatial data engineering, or related technical roles.
- Strong understanding of SD/HD map databases, geospatial schemas, and location-based data products
- Experience applying geospatial machine learning and AI models for classification, anomaly detection, clustering, or automated quality checks is a strong plus.
- Experience with AWS services, including architecture design, data pipelines, monitoring, and application deployment is advantageous.
- Advanced proficiency in Python, including automation scripting, spatial libraries, and data engineering workflows.
- Strong experience with SQL, relational databases, spatial SQL, and performance optimized spatial queries.
- Proficiency in API based data extraction, JSON/XML parsing, and integrating external data sources into automated pipelines.
- Advanced experience with FME, ArcGIS, QGIS, and spatial data transformation workflows.
- Demonstrable experience building robust, automated spatial data pipelines, including QA/QC, feature extraction, integrity checks, and batch processing.
- Experience with Tableau, analytics, and building insights dashboards.
Coupling the skills above with strong internal attribute domain knowledge, advanced analytical abilities, and deep understanding of HERE's product ecosystem is a significant advantage.
What Do We Offer?
At HERE, you will work on globally impactful products in a collaborative and inclusive environment. We support continuous learning, professional growth, and cross-team collaboration, while offering opportunities to contribute to innovative, data-driven solutions that improve how people move and live.
HERE Technologies is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity, sexual orientation, age, or disability.
Who are we?
HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.
At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.
You will be part of HERE's Quality Engineering organization, focused on ensuring next-generation map products meet high-quality standards through scalable automation, spatial data engineering, and data-driven validation. The team partners closely with Data Science, Product, and Engineering to continuously evolve geospatial quality frameworks
Similar Jobs at HERE Technologies
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
Serve as primary technical advisor for strategic customers, troubleshoot and resolve complex SDK/platform issues, lead root-cause analysis, drive cross-functional solutions with product and engineering, support implementations and RFQs, conduct training, and improve support processes and product usability.
Top Skills:
Android SdkCSS3FlutterHTML5JavaLessNode.jsReact/ReduxSassSwift
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
Lead development of large-scale vision foundation and multimodal AI models for image and video understanding. Design, train, optimize, and deploy ViT-based and VLM systems, build RAG and retrieval pipelines, manage large multimodal datasets, optimize distributed training and GPU workflows, and translate research into production-ready solutions while evaluating model robustness and retrieval effectiveness.
Top Skills:
BlipBlip-2ClipDiffusion-Based Vision ModelsDinov3Distributed TrainingEmbeddingsFaissFine-TuningGenerative AiGpu AccelerationLlavaMilvusPineconePythonPyTorchRagSamScalable Ml InfrastructureSelf-Supervised LearningSemantic SearchTransfer LearningVector DatabasesVision Transformers (Vit)Vision-Language Models (Vlms)Weaviate
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
Lead HRIS/HR Business Analyst responsible for translating HR processes into Oracle HCM Fusion functional designs, driving AI-enabled automation (Agentic/Generative AI), managing end-to-end HCM processes, leading business acceptance, ensuring compliance (GDPR/ISO), collaborating with HR Technology teams, and supporting Agile delivery to improve MyHR workflows and release cycles.
Top Skills:
Agentic AiAgileFusion Ai AgentsGenerative AiMyhrOracle Ai AgentsOracle FusionOracle Hcm CloudSafe
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
