Python/PySpark Data Engineer with Azure Databricks Lead

Iminds Technology Systems - Dallas, TX

Full-time - Mid Level

Dallas, TX

Professional, Scientific, and Technical Services

About the position

We are seeking an experienced Data Engineer with a strong background in Python, PySpark, and Azure Databricks. This role focuses on analyzing complex geospatial datasets, developing models, and supporting data-driven strategies. The ideal candidate will be passionate about data engineering and skilled in extracting insights from geospatial data.

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.

Requirements

• 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.