United States onlyLocation:
- Data Extraction & Crawling:Assist in the automation of collecting geospatial data from APIs, databases, and web sources using tools like Selenium, Scrapy, or custom scripts.
- Data Cleaning:Learn how to ensure the quality and consistency of geographic datasets by addressing missing or inconsistent data with guidance from senior engineers.
- Data Preparation & Aggregation:Support in organizing and structuring geospatial data for use in xMap’s mapping and AI-driven analysis tools.
- Data Manipulation:Work with geographic datasets to sort, filter, and transform them under the guidance of experienced team members.
- Data Quality Assurance:Participate in implementing checks to maintain data integrity and geospatial accuracy.
- Data Pipeline Development:Assist in building and maintaining automated data pipelines to support xMap’s platform.
- Performance Optimization:Learn how to optimize data structures and queries for speed and efficiency in geospatial applications.
- Automation & Process Improvement:Collaborate on automating repetitive tasks to streamline processes.
- Collaboration & Communication:Work closely with xMap’s engineering team, GIS experts, and project managers, gaining experience in delivering high-quality data solutions.
- Troubleshooting & Support:Assist in diagnosing and resolving issues in data pipelines, ensuring smooth operation of geospatial applications.
Requirements
- Knowledge of Data Manipulation Languages:Strong skills in Python and SQL, with a willingness to learn more about handling geospatial data.
- Knowledge in Web Scraping:Exposure to tools like Selenium, BeautifulSoup, or Scrapy is a plus, but not required.
- Geospatial Data Awareness:Eagerness to learn about geographic data formats such as GeoJSON and shapefiles.
- Data Preparation Tools:Basic experience with pandas, NumPy, or other data manipulation libraries is helpful but can be developed on the job.
- Data Quality Management:An interest in learning about data validation and ensuring accuracy in mapping datasets.
- Pipeline Design:Willingness to develop skills in tools like Apache Airflow, Luigi, or similar, with a focus on data pipelines.
- Problem-Solving Mindset:Eagerness to grow in troubleshooting skills for resolving issues in data pipelines.
- Collaboration Skills:Ability to communicate effectively and work well with cross-functional teams.
Details
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