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What are the key skills and qualifications needed to thrive as a Junior Python GIS specialist, and why are they important?

To thrive as a Junior Python GIS specialist, you need foundational knowledge in GIS concepts, proficiency in Python programming, and typically a degree in geography, computer science, or a related field. Familiarity with GIS software like ArcGIS or QGIS, spatial databases, and relevant libraries such as GeoPandas or GDAL is essential. Strong analytical thinking, attention to detail, and effective communication skills help you interpret spatial data and collaborate with team members. These skills enable you to efficiently analyze geographic information and contribute valuable insights to geospatial projects.

What are some common challenges faced by Junior Python GIS professionals when starting out in their careers?

Junior Python GIS professionals often encounter challenges such as learning to work with large and complex geospatial datasets, understanding industry-standard GIS software, and integrating Python scripts with GIS platforms. Adapting to collaborative workflows and version control systems is also key, as projects are frequently team-based. Additionally, juniors may need to quickly become familiar with spatial analysis techniques and troubleshooting data quality or compatibility issues, which are common in real-world GIS projects.

What does a Junior Python GIS specialist do?

A Junior Python GIS specialist assists in managing and analyzing geographic data using Python programming within Geographic Information Systems (GIS). They typically support senior team members by writing scripts to automate geospatial data processing, creating maps, and helping with spatial analysis tasks. Their work often includes data cleaning, visualization, and integrating various datasets to support decision-making in fields like urban planning, environmental science, or logistics. Junior specialists are expected to continually develop their skills in Python, GIS software (such as QGIS or ArcGIS), and spatial databases.

What is the difference between Junior Python Gis vs GIS Analyst?

AspectJunior Python GisGIS Analyst
Required CredentialsBasic Python skills, GIS fundamentals, often a bachelor's in GIS or related fieldAdvanced GIS knowledge, often with a bachelor's or master's in GIS, geography, or related field
Work EnvironmentEntry-level, focused on scripting, data processing, and automationMore analytical, involving spatial data analysis, map creation, and project management
Employer & Industry UsageTech companies, government agencies, environmental firmsUrban planning, environmental consulting, government agencies
Common Search & Comparison IntentUnderstanding entry-level GIS roles with Python skillsExploring more advanced GIS positions with scripting expertise

While both roles involve GIS and Python, Junior Python Gis focuses on scripting and automation at an entry level, whereas GIS Analyst involves more complex spatial analysis and project responsibilities. The roles often overlap in skills but differ in experience and scope.

What are the most commonly searched types of Python Gis jobs in Missouri? The most popular types of Python Gis jobs in Missouri are:
What are popular job titles related to Junior Python Gis jobs in Missouri? For Junior Python Gis jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Junior Python Gis jobs in Missouri look for? The top searched job categories for Junior Python Gis jobs in Missouri are:
Junior Python Gis jobs near you

Junior Cloud Engineer

Freedom Technology Solutions Group

Saint Louis, MO • On-site, Remote

Other

Posted 7 days ago

Job description

Freedom Technology Solutions Group is seeking a Cloud Engineer to support our client's intelligence analysis products and capabilities. This position involves providing cloud expertise to enhance existing and emerging client capabilities, including design and development, modernization of existing applications and services, and operations and sustainment. The role focuses on driving the client's adaptation of higher levels of automation and operational efficiency through agile development methodologies, rapid prototyping, and modern technology stacks. 

Responsibilities: 

  • Assessment of existing environment, identification of potential approaches to increase CORE DevSecOps adoption, and integration of applications into Cloud environment as needed. 
  • Build and maintain secure, automated DevSecOps pipelines for CI/CD.
  • Lead containerized solution deployments across hybrid and cloud (AWS) environments.
  • Implement and optimize geospatial data processing and API integrations. 
  • Troubleshoot, debug, and improve system performance.
  • Contribute to system architecture discussions and recommend improvements.
  • Provide input on deliverables, schedules, and performance metrics.
  • Participate in rapid prototyping to quickly iterate and improve solutions
  • Utilize modern technology stacks to meet client needs
  • Implement CI/CD pipelines using GitLab
  • Collaborate with cross-functional teams to deliver high-quality software solutions 

Key Technologies:

  • Linux
  • Java, JavaScript, Python
  • Containerization (Docker, OpenShift, Kubernetes, ...)
  • AWS Services
  • GitLab
  • Apache Spark, Glue, and other ETL processes/procedures
  • Data Types: Structured and Unstructured, Parquet, JSON, XML, etc. 

Required Qualifications:

  • Active TS/SCI clearance (eligible for CI Poly).
  • 0-3 years software development experience.
  • Experience in Java, JavaScript, and Python.
  • Experience with DevSecOps pipelines, Agile methodologies, and CI/CD tools (e.g., GitLab).
  • Hands-on experience with AWS services (Lambda, ECS, S3, RDS, etc.).
  • Skilled in containerization technologies (Docker, Kubernetes, OpenShift).
  • Experience with geospatial data frameworks and APIs (e.g., GeoServer, PostGIS, ArcGIS).
  • Using GitLab for code source repository and using GitLab CI/CD
  • Developing customized code, scripts, modules, macro procedures, or libraries for specialized spatial analysis functions using languages such as Python, Java, JavaScript, PHP, C, C++, C#, Perl, or similar 

Desired Qualifications:

  • Experience working independently with clients or stakeholders to develop user stories for full-service consumer and business applications
  • Experience with government and/or commercial imagery products, including SAR or related RADAR imaging technologies
  • Developing geospatial information systems (GIS) and working with open-source and proprietary geospatial formats
  • Using and developing common geospatial tools, data, and operating platforms such as:
  • Tools: Boundless Spatial suite, Remote View, PostGRES/PostGIS, Oracle Spatial, ArcGIS Desktop, ArcGIS Server, Image Server, File Geodatabases
  • Data Formats: KML, KMZ, NITF, TIFF, JPEG, GeoPDF, and similar geo-related formats and data structures
  • Abstracting new or legacy systems via standards-based APIs, including Open Geospatial Consortium standards
  • Developing terrain analysis visualization and algorithms
  • Developing automated detection algorithms
  • Experience with Argo Workflows 

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