Pyspark Developer - Dallas, TX (primary) or Charlotte, NC (Secondary). Hybrid 3 days a week mandatory. Must have skills Pyspark, Spark, Python and Hadoop.

  • Dallas, TX
  • Posted 10 hours ago | Updated 10 hours ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

Analytics
Apache Hadoop
Apache Spark
Attention To Detail
Collaboration
Communication
Conflict Resolution
Continuous Improvement
Data Processing
Data Storage
Decision-making
Geospatial Analysis
Java
Knowledge Sharing
Management
Problem Solving
PySpark
Python
Real-time
Regulatory Compliance
Technical Support
Testing

Job Details

Job Summary: We are seeking a highly skilled Pyspark Developer with 8 to 12 years of experience to join our team. The ideal candidate will have expertise in Java, Python, Hadoop, PySpark, and Spark. This role involves developing and optimizing geospatial applications and solutions. The position is hybrid, with day shifts and no travel required.
Required Skills: Python, PySpark, Spark Pyspark, Hadoop
Responsibilities: - Develop and optimize geospatial applications using Java and Python to enhance data processing capabilities. - Collaborate with cross-functional teams to design and implement scalable geospatial solutions. - Utilize Hadoop and PySpark to manage and analyze large datasets efficiently. - Implement Spark for real-time data processing and analytics to improve decision-making processes. - Ensure the integration of geospatial data with existing systems to provide comprehensive insights. - Conduct thorough testing and validation of geospatial applications to ensure accuracy and reliability. - Provide technical support and troubleshooting for geospatial applications to maintain seamless operations. - Document all development processes and solutions to ensure knowledge sharing and continuity. - Stay updated with the latest geospatial technologies and trends to incorporate innovative solutions. - Work closely with stakeholders to understand their requirements and deliver customized geospatial solutions. - Optimize data storage and retrieval processes to enhance system performance and efficiency. - Contribute to the continuous improvement of geospatial development practices and methodologies. - Ensure compliance with industry standards and regulations in all geospatial development activities.
Qualifications: Possess a strong understanding of geospatial concepts and technologies. - Demonstrate proficiency in Java, Python, Hadoop, PySpark, and Spark. - Have experience in developing and optimizing large-scale geospatial applications. - Show ability to work collaboratively in a hybrid work model. - Exhibit strong problem-solving skills and attention to detail. - Display excellent communication skills to interact with team members and stakeholders. - Maintain a proactive approach to learning and adapting to new technologies.

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