Azure Data Engineer/Administrator
By Medline Industries Inc At , Northfield
Strong Production Support experience with skills in debugging, troubleshooting, root cause analysis, and problem resolution being critical to this role
Experience working in an offshore/onshore team model, experience working with diverse teams with various levels of skill sets.
Comprehensive understanding and experience with Azure services and platforms, including but not limited to ADLS, Azure Data Factory, and Azure Synapse
Advanced working experience in SQL.
Bachelor’s Degree in Computer Science, Information Systems, or other related fields; or equivalent work experience.
4+ years of experience with Cloud platforms and services on Azure.
Sr. Azure Data Engineer (Remote)
By Cognizant At , Cincinnati, 45246, Oh $125,000 - $135,000 a year
Identify alliance partners based on the understanding of service offerings and client requirements
Participate in external forums (seminars, paper presentations, etc.) to showcase Cognizant capabilities and insights under guidance of senior team members
Analyze Cost Vs Benefits of solution options
In collaboration with Sr. Architect, create a compelling business case around the offerings
Conduct beta testing of the offerings
Experience 12 to 16 years

Are you an experienced Data Engineer looking to take your career to the next level? We are looking for a Data Engineer with Azure experience to join our team and help us build the next generation of data-driven solutions. You will be responsible for designing, developing, and maintaining data pipelines and architectures that enable us to quickly and accurately analyze large datasets. You will also be responsible for developing and maintaining data models and ETL processes to ensure data accuracy and integrity. If you have a passion for data engineering and a strong understanding of Azure, we want to hear from you!

Overview Data Engineer with Azure is a specialized role that focuses on the development, implementation, and maintenance of data-driven solutions using the Microsoft Azure cloud platform. The Data Engineer is responsible for designing, developing, and deploying data-driven solutions that meet the needs of the organization. They must be able to work with a variety of stakeholders to ensure that the solutions are tailored to the organization’s needs. Detailed Job Description Data Engineers with Azure are responsible for designing, developing, and deploying data-driven solutions using the Microsoft Azure cloud platform. They must be able to work with stakeholders to ensure that the solutions are tailored to the organization’s needs. The Data Engineer must be able to design and develop data models, ETL processes, and data pipelines. They must also be able to develop and deploy Azure services such as Azure Data Factory, Azure Data Lake, and Azure SQL Database. The Data Engineer must be able to troubleshoot and optimize data-driven solutions. Job Skills Required
• Proficiency in Azure cloud platform
• Proficiency in data modeling, ETL processes, and data pipelines
• Proficiency in Azure services such as Azure Data Factory, Azure Data Lake, and Azure SQL Database
• Knowledge of data security and privacy
• Knowledge of data warehousing and big data technologies
• Knowledge of scripting languages such as Python, R, and PowerShell
• Knowledge of data visualization tools such as Tableau and Power BI
• Ability to troubleshoot and optimize data-driven solutions
• Ability to work with stakeholders to ensure that solutions are tailored to the organization’s needs
Job Qualifications
• Bachelor’s degree in Computer Science, Information Systems, or related field
• 5+ years of experience in data engineering
• Experience with Azure cloud platform
• Experience with data modeling, ETL processes, and data pipelines
• Experience with Azure services such as Azure Data Factory, Azure Data Lake, and Azure SQL Database
• Experience with scripting languages such as Python, R, and PowerShell
• Experience with data visualization tools such as Tableau and Power BI
Job Knowledge
• Knowledge of data security and privacy
• Knowledge of data warehousing and big data technologies
• Knowledge of scripting languages such as Python, R, and PowerShell
• Knowledge of data visualization tools such as Tableau and Power BI
• Knowledge of Azure cloud platform
Job Experience