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What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
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Find tutorial for your browser below :
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  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
  3. Make sure the Enable JavaScript checkbox is selected.
  4. Click Websites.
  5. On the left, click Content Blockers.
  6. Make sure Off is chosen in the pop-up menu next to the website.
  7. On the left, click Pop-up Windows.
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  2. Click. then Settings.
  3. Click Privacy and Security.
  4. Click Site settings.
  5. Click JavaScript.
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  4. Scroll down and click on JavaScript.
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  1. Go to Settings.
  2. Click Advanced in the left sidebar, and click Privacy & security.
  3. Under Privacy and security, click Site settings.
  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
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Jobs or company...
C

Geospatial Big Data

  • Full Time, onsite
  • CrackaJack Digital Solutions
  • On Site, United States of America
Salary undisclosed
Checking job availability...
Original
Simplified
Key Responsibilities
  • Design and implement scalable big data architectures using Hadoop, Spark, or other distributed processing frameworks.
  • Ingest, store, and manage large volumes of structured and unstructured geospatial data from various sources (e.g., satellite, drone, IoT, APIs).
  • Optimize geospatial data storage using formats like GeoParquet, GeoJSON, and PostGIS-enabled databases.
  • Develop and maintain ETL/ELT pipelines with a focus on spatial data enrichment, transformation, and aggregation.
  • Work with GIS tools and libraries such as GDAL, GeoPandas, Shapely, or QGIS.
  • Collaborate with data scientists and analysts to support spatial modeling, analytics, and visualization.
  • Implement data quality checks, lineage tracking, and metadata management for geospatial datasets.
  • Ensure the performance, scalability, and reliability of geospatial data pipelines in production environments.
Requirements
Technical Skills
  • Proficiency in distributed computing frameworks (e.g., Apache Spark, Hadoop, Kafka).
  • Strong programming skills in Python, Scala, or Java.
  • Experience with spatial databases like PostGIS, GeoMesa, or GeoSpark.
  • Familiarity with GIS tools and spatial data formats (e.g., GeoTIFF, KML, shapefiles).
  • Cloud platform experience (AWS, Azure, or Google Cloud Platform), especially services like S3, EMR, or BigQuery with geospatial capabilities.
  • Understanding of geospatial concepts: coordinate systems, map projections, spatial indexing (R-tree, QuadTree), etc.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job
Key Responsibilities
  • Design and implement scalable big data architectures using Hadoop, Spark, or other distributed processing frameworks.
  • Ingest, store, and manage large volumes of structured and unstructured geospatial data from various sources (e.g., satellite, drone, IoT, APIs).
  • Optimize geospatial data storage using formats like GeoParquet, GeoJSON, and PostGIS-enabled databases.
  • Develop and maintain ETL/ELT pipelines with a focus on spatial data enrichment, transformation, and aggregation.
  • Work with GIS tools and libraries such as GDAL, GeoPandas, Shapely, or QGIS.
  • Collaborate with data scientists and analysts to support spatial modeling, analytics, and visualization.
  • Implement data quality checks, lineage tracking, and metadata management for geospatial datasets.
  • Ensure the performance, scalability, and reliability of geospatial data pipelines in production environments.
Requirements
Technical Skills
  • Proficiency in distributed computing frameworks (e.g., Apache Spark, Hadoop, Kafka).
  • Strong programming skills in Python, Scala, or Java.
  • Experience with spatial databases like PostGIS, GeoMesa, or GeoSpark.
  • Familiarity with GIS tools and spatial data formats (e.g., GeoTIFF, KML, shapefiles).
  • Cloud platform experience (AWS, Azure, or Google Cloud Platform), especially services like S3, EMR, or BigQuery with geospatial capabilities.
  • Understanding of geospatial concepts: coordinate systems, map projections, spatial indexing (R-tree, QuadTree), etc.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job