Dice is the leading career destination for tech experts at every stage of their careers. Our client, Lorven Technologies, Inc., is seeking the following. Apply via Dice today! Hi, Our client is looking for a Azure Data Engineer with a Long-Term Contract project in Basking Ridge, NJ (Hybrid). below is the detailed requirement. Position : Azure Data Engineer Location : Basking Ridge, NJ (Hybrid) Duration : Long-Term Contract EXP : 12+ Years Required Skills : Databricks, Azure Data Domain Responsibilities : • Analyze geospatial data to identify patterns and trends that support business strategies and decision-making. • Develop and maintain geospatial databases using Databricks and Azure Data to ensure data integrity and accessibility. • Collaborate with cross-functional teams to integrate geospatial insights into broader business processes and initiatives. • Provide detailed reports and visualizations to communicate geospatial findings to stakeholders effectively. • Implement advanced geospatial analytical techniques to solve complex business problems and improve operational efficiency. • Ensure data quality and accuracy by conducting regular audits and validations of geospatial datasets. • Stay updated with the latest geospatial technologies and methodologies to continuously improve analytical capabilities. • Support the development of geospatial models and simulations to predict future trends and scenarios. • Work closely with IT teams to optimize data workflows and enhance the performance of geospatial applications. • Contribute to the design and implementation of geospatial data governance frameworks and best practices. • Facilitate training sessions and workshops to enhance the geospatial analytical skills of team members. • Monitor and evaluate the impact of geospatial initiatives on business outcomes and societal benefits. • Drive innovation by exploring new geospatial data sources and analytical tools to expand the companys capabilities. Qualifications: • Possess strong expertise in Databricks and Azure Data, essential for managing and analyzing large geospatial datasets. • Demonstrate proficiency in geospatial analysis and data modeling, crucial for deriving actionable insights. • Exhibit excellent communication skills to effectively present complex geospatial findings to diverse audiences. • Have a solid understanding of data governance and best practices to ensure data quality and compliance. • Show experience in collaborating with cross-functional teams to integrate geospatial insights into business strategies. • Display a proactive approach to learning and adopting new geospatial technologies and methodologies. • Hold a degree in Geography, Geospatial Science, Data Science, or a related field, providing a strong foundation for the role.