Data Engineer - 2
Data Engineer - 2
Posted on :
07-07-2025
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1 Vacancy
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Job Description
As a Data Engineer specializing in geospatial data your primary responsibility is to design build and maintain data infrastructure and systems that handle geospatial information effectively. You will work closely with cross-functional teams including data scientists geospatial analysts and software engineers to ensure that geospatial data is collected processed stored and analyzed efficiently and accurately.
About SatSure
SatSure is a deep tech decision Intelligence company that works primarily at the nexus of agriculture infrastructure and climate action creating an impact for the other millions focusing on the developing world. We want to make insights from earth observation data accessible to all.
If you are interested in working in an environment that focuses on the impact on society driven by cutting-edge technology and where you will be free to work on innovative ideas and be creative with no hierarchies SatSure is the place for you.
Key Responsibilities:
- Data Pipeline Development: Design and implement robust data pipelines to acquire ingest clean transform and process geospatial data from various sources such as satellites aerial drones and geolocation services.
- Data Ingestion Storage and Extraction: Develop data models and schemas tailored to geospatial data structures ensuring optimal performance and scalability for storage and retrieval operations.
- Spatial Database Management: Manage geospatial databases including both traditional relational databases (e.g. PostgreSQL with PostGIS extension) and NoSQL databases (e.g. MongoDB Cassandra) to store and query spatial data efficiently.
- Geospatial Analysis Tools Integration: Integrate geospatial analysis tools and libraries (e.g. GDAL GeoPandas Fiona) into data processing pipelines and analytics workflows to perform spatial data analysis visualization and geoprocessing tasks.
- Geospatial Data Visualization: Collaborate with data visualization specialists to create interactive maps dashboards and visualizations that effectively communicate geospatial insights and patterns to stakeholders. (frontend related)
- Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems leveraging techniques such as indexing partitioning and parallelization to optimize geospatial data workflows.
- Data Quality Assurance: Implement data quality checks and validation procedures to ensure the accuracy completeness and consistency of geospatial data throughout the data lifecycle.
- Geospatial Data Governance: Establish data governance policies and standards specific to geospatial data including metadata management data privacy and compliance with geospatial regulations and standards (e.g. INSPIRE OGC).
- Collaboration and Communication: Collaborate with cross-functional teams to understand geospatial data requirements and provide technical expertise and support. Communicate findings insights and technical solutions effectively to both technical and non-technical stakeholders.
Requirements:
Must-have:
- Bachelors or Masters degree in Computer Science or a related field.
- 3-5 years of experience working in the field and deploying the pipelines in production.
- Strong programming skills in languages such as Python Java or Scala with experience in geospatial libraries and frameworks (e.g. Rasterio Shapely).
- Experience with distributed computing frameworks (e.g. Apache Spark Airflow) and cloud-based data platforms (e.g. AWS Azure Google Cloud Platform).
- Familiarity with geospatial data formats and standards (e.g. GeoJSON Shapefile KML) and geospatial data visualization tools (e.g. Mapbox Leaflet Tableau).
- Strong analytical and problem-solving skills with the ability to work with large and complex geospatial datasets.
Good-to-have:
- Proficiency in SQL and experience with geospatial extensions for relational databases (e.g. PostGIS).
- Excellent communication and collaboration skills with the ability to work effectively in a cross-functional team environment.
- Nice to have experience with geospatial libraries such as Rasterio Xarray Geopandas and GDAL.
- Nice to have Knowledge of distributed computing frameworks such as Dask.
- STAC GeoParquet Cloud native tools.
- Productionising Data Science code.
The role of a Data Engineer for Geospatial Data is crucial in enabling organizations to leverage the power of geospatial information for various applications including urban planning environmental monitoring transportation agriculture and emergency response.
Benefits:
- Medical Health Cover for you and your family including unlimited online doctor consultations
- Access to mental health experts for you and your family
- Dedicated allowances for learning and skill development
- Comprehensive leave policy with casual leaves paid leaves marriage leaves bereavement leaves
- Twice a year appraisal
Interview Process:
- Intro call
- Assessment
- Presentation
- Interview rounds (ideally up to 3-4 rounds)
- Culture Round / HR round
Employment Type
Full Time
Key Skills
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