Datastage ETL Developer
Datastage ETL Developer
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Job Description
Job Title: Datastage ETL Developer
Location: Dallas TX-Onsite
Duration: 12 Months
Experience: 4 to 6 Yrs
Job Summary: As a Datastage ETL Developer you will be responsible for overseeing the integration and analysis of geospatial data using Databricks SQL and Azure Databricks. You will work in a hybrid model collaborating with cross-functional teams to drive data-driven decision-making. Your role will involve optimizing data workflows and ensuring the accuracy and efficiency of geospatial data processes.
Required Skills: Azure Databricks Databricks Databricks SQL
Responsibilities: - Oversee the integration of geospatial data into Databricks platforms to support data-driven decision-making. - Collaborate with cross-functional teams to ensure seamless data workflows and processes. - Optimize the performance of geospatial data analysis using Databricks SQL and Azure Databricks. - Provide insights and recommendations based on geospatial data analysis to enhance business strategies. - Ensure the accuracy and reliability of geospatial data by implementing robust validation processes. - Develop and maintain documentation for geospatial data processes and workflows. - Monitor and troubleshoot issues related to geospatial data integration and analysis. - Implement best practices for data security and compliance in geospatial data management. - Coordinate with stakeholders to understand and address their geospatial data needs. - Lead initiatives to improve the efficiency and effectiveness of geospatial data processes. - Conduct training sessions for team members on the use of Databricks tools for geospatial data analysis. - Evaluate new technologies and tools to enhance geospatial data capabilities. - Contribute to the companys mission by leveraging geospatial data to drive impactful outcomes.
Qualifications: - Possess strong experience in Databricks SQL and Azure Databricks for geospatial data analysis. - Demonstrate proficiency in integrating and managing geospatial data within Databricks platforms. - Exhibit excellent problem-solving skills and attention to detail in data validation processes. - Show ability to collaborate effectively with cross-functional teams and stakeholders. - Have experience in developing documentation and training materials for data processes. - Display knowledge of data security and compliance best practices.
Thanks
Majid M.
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Employment Type
Full-time
