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Jobs or company...
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Python/PySpark Data Engineer with Azure Databricks Lead

  • Full Time, onsite
  • iMinds Technology Systems, Inc.
  • On Site, United States of America
Salary undisclosed

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Dice
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Simplified

Job Title: Python/PySpark Data Engineer with Azure Databricks Lead

Location: Dallas, TX (Onsite from Day One)

Job Type: Contract

About the Role
We are looking for an experienced Data Engineer with strong expertise in Python, PySpark, and Azure Databricks to join our team. This role involves working with complex geospatial datasets, developing models, and supporting data-driven strategies. If you are passionate about data engineering and have a knack for extracting insights from geospatial data, we would love to connect with you.

Key Responsibilities

  • Analyze complex geospatial datasets to extract meaningful insights and patterns.
  • Develop and implement geospatial models using Python and PySpark.
  • Utilize Azure Databricks for efficient data processing and analysis.
  • Collaborate with cross-functional teams to understand data requirements and provide tailored solutions.
  • Offer technical expertise in geospatial data analysis and visualization.
  • Ensure data quality and integrity through comprehensive validation and testing.
  • Document methodologies, processes, and findings in a clear and accessible manner.
  • Present insights and actionable recommendations to stakeholders.
  • Continuously improve existing geospatial models and develop new ones as business needs evolve.
  • Stay updated with the latest in geospatial technology and best practices.
  • Support the development of data-driven strategies to enhance business outcomes.
  • Troubleshoot and resolve technical issues related to geospatial data and tools.
  • Mentor junior analysts and guide them on best practices in geospatial data engineering.

Qualifications

  • Strong expertise in Python and PySpark with a focus on geospatial data.
  • Hands-on experience with Azure Databricks for data engineering and analysis.
  • Proficiency in working with large and complex geospatial datasets.
  • Excellent analytical and problem-solving skills.
  • Ability to work both independently and as part of a team, with strong collaboration skills.
  • Effective communication skills to present technical findings to both technical and non-technical stakeholders.
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.
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