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HERE Technologies

Sr GIS Data Engineer -Python l AI ML l SQL

Posted An Hour Ago
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Hybrid
Mumbai, Maharashtra
Senior level
Hybrid
Mumbai, Maharashtra
Senior level
Senior GIS Data Engineer responsible for developing and maintaining geospatial datasets and data pipelines. Build, run, and optimize ETL workflows (batch to flow), transform and integrate spatial data using FME/ArcGIS/Python/SQL, ensure data quality, provide GIS consultancy, and collaborate cross-functionally to deliver scalable mapping solutions and improve processes.
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What's the role?
As a Sr GIS Data Engineer, you will contribute to the development and maintenance of HERE’s geospatial datasets and data pipelines. You will work across cross-functional teams to ensure data accuracy, optimize workflows, and deliver scalable solutions.
  • Run, modify, and execute data engineering processes and projects for the conversion and use of internal and external digital sources in the creation and maintenance of the HERE databases and related products
  • Assume full accountability and ownership to successfully complete these projects, following existing workflows
  • Create new workflows and processes with standardization to be used across teams within Data Capture and Ingestion
  • Leverage data engineering technologies like FME, ArcGIS, Python, SQL and others to transform and integrate data, or create products
  • Assess and manage the transition of workflows from batch processing to flow
  • Provide basic GIS and spatial data consultancy for sources and processes
  • Participate in departmental and cross-functional projects to increase efficiency, improve quality, and/or reduce costs within the Core Map Group
  • Apply influence within the local team
  • Develop an engineering and consultancy mindset with a focus on value and cost efficiency; deliver what is needed as the end result
  • Increase understanding of HERE database content, product specification, and the tools and technologies utilized for database creation in general and end-to-end

Additionally, you may have:
  • Experience with ArcGIS and FME or similar spatial tools
  • Developing knowledge of GIS-related programming languages
Who are you?
You are a detail-oriented and analytical professional with strong problem-solving skills and a passion for working with geospatial data and technologies.You bring:
  • Hands-on experience in Generative AI, LLM models, and Data Science technologies
  • Experience in GIS, geospatial data processing, or data engineering roles.Strong understanding of spatial data concepts and formats
  • Proficiency in programming languages such as Python, AI ML,SQL, or similar
  • Experience working with large datasets and data processing tools
  • Knowledge of data quality principles and validation techniques
  • Ability to collaborate effectively with cross-functional teams
  • Strong communication skills with proficiency in English

HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.

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.




About the TeamYou will be part of a dynamic data engineering team working on building and maintaining high-quality map and geospatial datasets. The team collaborates closely with global stakeholders to deliver scalable solutions, improve data quality, and support HERE’s mapping and location intelligence platforms. The team culture is collaborative, innovative, and focused on continuous learning and improvement.

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