Job Description

Hi,

Our client is looking for a Azure Data engineer with a Long-Term Contract project in Minneapolis, MN below is the detailed requirement.

Job Role: Azure Data engineer

Location: Minneapolis, MN

Duration: Long Term

Required Skills : Technical Skills: Azure Data Lake Store, Azure Data, Databricks

Job Description:

• Lead the development and implementation of geospatial data solutions using Azure Data Lake Store, Azure Data, and Databricks.
• Oversee the integration of geospatial data with existing data systems to ensure seamless data flow and accessibility.
• Provide expertise in geospatial data analysis to support business decision-making processes.
• Collaborate with cross-functional teams to identify and address geospatial data needs and opportunities.
• Develop and maintain geospatial data models and databases to support various business applications.
• Ensure data quality and integrity by implementing robust data validation and cleansing processes.
• Create and maintain comprehensive documentation for geospatial data processes and solutions.
• Conduct regular training sessions for team members on geospatial data tools and best practices.
• Monitor and optimize the performance of geospatial data solutions to ensure efficiency and scalability.
• Stay updated with the latest trends and advancements in geospatial data technologies and tools.
• Provide technical support and troubleshooting for geospatial data-related issues.
• Participate in project planning and management activities to ensure timely delivery of geospatial data solutions.
• Communicate effectively with stakeholders to understand their geospatial data requirements and provide appropriate solutions.

Qualifications :

• Must have extensive experience with Azure Data Lake Store, Azure Data, and Databricks.
• Should possess strong analytical skills to interpret complex geospatial data.
• Must have a solid understanding of geospatial data integration and management.
• Should have excellent communication skills to collaborate with cross-functional teams.
• Must be proficient in developing and maintaining geospatial data models and databases.
• Should have experience in implementing data validation and cleansing processes.
• Must be able to create comprehensive documentation for geospatial data processes.
• Should have the ability to conduct training sessions on geospatial data tools.
• Must be capable of monitoring and optimizing geospatial data solutions.
• Should stay updated with the latest geospatial data technologies.
• Must provide technical support for geospatial data-related issues.
• Should participate in project planning and management activities.
• Must effectively communicate with stakeholders to understand their requirements.

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