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 looking for an exciting opportunity to work with the latest Azure technologies? We are looking for a Data Engineer to join our team and help us build and maintain our data platform. You will be responsible for designing, developing, and deploying data pipelines, data models, and data warehouses. You will also be responsible for optimizing data flows and ensuring data quality. If you have a passion for data engineering and are excited to work with Azure, then this is the job for you!

Overview Data Engineer Azure is responsible for designing, developing, and maintaining data solutions on the Microsoft Azure platform. They are responsible for developing and deploying data solutions that are secure, scalable, and reliable. They must have a strong understanding of the Azure platform and its capabilities, as well as the ability to develop and maintain data solutions that meet the needs of the organization. Detailed Job Description Data Engineer Azure is responsible for designing, developing, and maintaining data solutions on the Microsoft Azure platform. They must have a strong understanding of the Azure platform and its capabilities, as well as the ability to develop and maintain data solutions that meet the needs of the organization. They must be able to develop and deploy data solutions that are secure, scalable, and reliable. They must be able to work with a variety of data sources, including structured and unstructured data, and be able to develop data models that are optimized for performance. They must be able to develop and maintain data pipelines and ETL processes, as well as develop and maintain data warehouses and data lakes. They must be able to develop and maintain data security and privacy policies, as well as develop and maintain data governance processes. Job Skills Required
• Strong knowledge of the Microsoft Azure platform and its capabilities
• Experience developing and deploying data solutions on the Azure platform
• Experience with a variety of data sources, including structured and unstructured data
• Experience developing data models that are optimized for performance
• Experience developing and maintaining data pipelines and ETL processes
• Experience developing and maintaining data warehouses and data lakes
• Experience developing and maintaining data security and privacy policies
• Experience developing and maintaining data governance processes
• Ability to work independently and as part of a team
• Strong problem-solving and analytical skills
• Excellent communication and interpersonal skills
Job Qualifications
• Bachelor’s degree in Computer Science, Information Technology, or a related field
• 5+ years of experience in data engineering
• Experience with Azure Data Factory, Azure Data Lake, Azure SQL Database, and Azure Cosmos DB
• Experience with data modeling, ETL processes, and data warehousing
• Experience with data security and privacy policies
• Experience with data governance processes
• Experience with scripting languages such as Python, PowerShell, and Bash
• Experience with source control systems such as Git
Job Knowledge
• Knowledge of the Microsoft Azure platform and its capabilities
• Knowledge of data sources, including structured and