Azure Data Lake Store Consultant / Architect

Role: Azure Data Lake Store Consultant / Architect

Location: Minneapolis - MN - HYBRID

Experience: 15 Years

Job Summary :

The ideal candidate will have extensive experience in Azure Data Lake Store, Azure Data, and Databricks. This hybrid role offers the opportunity to work on cutting-edge projects, leveraging geospatial data to drive impactful business decisions. The position requires a day shift with no travel obligations.

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

Responsibilities :

- 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.