Overview
On Site
Accepts corp to corp applications
Contract - Contract
Skills
Hadoop
Python
PYSPARK
Data Engineer
Job Details
Hi,
Our client is looking for a Sr. Data Engineer (Hadoop/PySpark) for Long Term Contract project in Atlanta, GA (Hybrid). below is the detailed requirement.
Job Title : Sr. Data Engineer (Hadoop/PySpark)
Location : Atlanta, GA (Hybrid)
Duration : Long Term Contract
EXP : 12+ Years
Required Skills : Python, PySpark, Hadoop
Responsibilities:
- Analyze geospatial data using Hadoop, PySpark, and Python to derive meaningful insights
- Develop and maintain geospatial data pipelines to ensure data accuracy and availability
- Collaborate with cross-functional teams to integrate geospatial data into various applications
- Provide technical expertise in geospatial data processing and analysis
- Design and implement geospatial algorithms to solve complex problems
- Oversee the development of geospatial data models and visualizations
- Ensure data quality and consistency across all geospatial datasets
- Conduct spatial analysis to support business decisions and strategic planning
- Lead efforts to optimize geospatial data workflows and processes
- Monitor and troubleshoot geospatial data systems to ensure optimal performance
- Provide training and support to team members on geospatial tools and techniques
- Stay updated with the latest trends and technologies in geospatial analysis
- Contribute to the companys purpose by delivering actionable geospatial insights that benefit society
Qualifications:
- Possess strong technical skills in Hadoop, PySpark, and Python
- Have a minimum of 6 years of experience in geospatial data analysis
- Demonstrate expertise in developing and maintaining geospatial data pipelines
- Show proficiency in designing and implementing geospatial algorithms
- Exhibit ability to collaborate effectively with cross-functional teams
- Have experience in conducting spatial analysis for business decisions
- Display knowledge of geospatial data models and visualizations
- Ensure data quality and consistency in geospatial datasets
- Provide training and support on geospatial tools and techniques
- Stay updated with trends in geospatial analysis
- Optimize geospatial data workflows and processes
- Monitor geospatial data systems for performance
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