Azure Data Engineer at Detroit, Michigan, USA |
Email: [email protected] |
From: Satyajit Nayak, tekinspirations [email protected] Reply to: [email protected] Hello, Hope you are doing well! Please review the JD and share resumes. Job Description - Job Title: Azure Data Engineer NEED LINKEDIN AND MUST BE LOCAL WITH DL Location: Detroit Michigan Duration: 12 Months NEED LINKEDIN AND MUST BE LOCAL WITH DL MUST have the 3 highlighted requirements in the job description throughout the resume and years experience noted when sending resumes. Needed to submit: -The last 4 digits of their social security number -Day and month of birth -Highest degree MUST be on the resume (i.e degree, discipline, University and month/year obtained -Photo ID and linked in profile required when sending submittal Former Direct CMS Employee (Y/N): No Former CMS Contractor (Y/N): No As an Azure Data Engineer, your role involves designing, implementing, monitoring, and maintaining data and analytical solutions on Microsoft Azure. Skills: Microsoft Azure, Azure Databricks, and DBT Knowledge of data catalog tools (e.g., Microsoft Purview) Proficiency in data processing languages, including SQL and Python Excellent problem-solving skills and ability to work in a collaborative environment Education: Bachelors degree in Computer Science, Engineering, or related field. Experience as an Azure Data Engineer or similar role. Data Pipeline Design and Implementation: Create and maintain data pipelines that facilitate data movement, transformation, and integration. Ensure efficient and reliable data flow from source systems to target destinations. Data Storage Solutions: Design and manage data storage solutions within Azure, including: Azure Data Lake: Storing large volumes of raw data. Azure SQL Database: Providing structured data storage. Azure Blob Storage: Handling unstructured data. Data Processing and Transformation: Use tools like Databricks and dbt to process and transform data. Leverage Azure Databricks for running dbt transformations in production Data Integration: Collaborate with data analysts and scientists to understand data requirements. Design effective data workflows that enable data-driven decision-making. Performance Optimization: Optimize SQL queries generated by dbt for better performance. Ensure consistency between development (using a Databricks SQL warehouse) and production (using Azure Databricks compute) environments Security and Compliance: Implement secure and compliant data processing pipelines. Use Azure services and frameworks to produce cleansed and enhanced datasets for analysis In an effort to reduce tax risk/liability, Consumers Energy has directed PRO Unlimited and our suppliers, not to engage contractors for remote work in the following states: Regards, Satyajit nayak Sr. Technical Recruiter TEK Inspirations LLC | 13573 Tabasco Cat Trail, Frisco, TX 75035 E : [email protected] Linkedin: linkedin.com/in/satyajeet-nayak-85751625b Keywords: Idaho Texas Azure Data Engineer [email protected] |
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Tue May 28 22:26:00 UTC 2024 |