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    Data Engineer II - Bengaluru, India - SatSure

    SatSure
    SatSure Bengaluru, India

    1 day ago

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    Description

    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.


    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.


    • 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 crossfunctional teams to understand geospatial data requirements and provide technical expertise and support.
    • Communicate findings, insights, and technical solutions effectively to both technical and nontechnical stakeholders.

    Experience :
    Must-have :


    • Bachelor's or Master's degree in Computer Science or a related field.
    • 35 yrs 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., GeoTools, Shapely).
    • Experience with distributed computing frameworks (e.g., Apache Spark) and cloudbased 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 problemsolving 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 crossfunctional 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.
    )
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