Overview
On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 9 Month(s)
No Travel Required
Able to Provide Sponsorship
Skills
Amazon S3
Amazon Web Services
Analytics
Apache Hadoop
Apache Kafka
Apache Spark
Big Data
Cloud Computing
Collaboration
Data Quality
Data Storage
Database
Distributed Computing
ELT
Electronic Health Record (EHR)
Extract
Transform
Load
FOCUS
GDAL
Geographic Information System
Geospatial Analysis
Good Clinical Practice
Google Cloud Platform
IoT
Java
KML
Management
Meta-data Management
Microsoft Azure
Modeling
PostGIS
Python
QGIS
Satellite
Scala
Scalability
Visualization
Geospatial
Job Details
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.