Our client is an energy holding company that operations as a regulated natural gas and electric utility company and one of the largest fully regulated utility companies in the United States. We are seeking a Senior Azure Data Engineer for a contract-to-hire role based in Columbus, OH 43215 . You will have the opportunity to work a Hybrid schedule of 2 days onsite (Tuesdays and Wednesdays). This specific role does not allow for C2C consultants Must be authorized to work in the U.S. without sponsorship Description: Data Engineer should have proficiency in data engineering for Azure Data Engineers. Mastery in designing robust, scalable, and secure data solutions on Azure Cloud concepts is essential. This includes understanding Azure's data services ecosystem, such as Azure Data Lake, Azure Synapse Analytics, and Azure Data bricks. Data Engineers must architect solutions that can handle the volume, velocity, and variety of data, ensuring performance and compliance. Data Engineer must have a strong grasp of cloud security principles and practices. Understanding Azure's security features, such as Azure Active Directory, network security groups, and encryption services, is essential. Python expertise is preferred. Data Engineers must ensure that data solutions comply with industry regulations and company policies. The ability to build and maintain a data architecture that supports both real-time and batch processing will be a defining factor in the success of data-driven organizations. Qualifications: Looking for a full stack data engineer with 7 years of experience in the field. Experience with Python. Proficiency in Azure data technology stack. Experience designing, building, and maintaining ETL/ELT pipelines to move and transform data between systems. Experience in building Data lakes (primarily Azure DL) Experience with data warehousing solution• Expertise in building logical and physical data models. Experience with cloud services such as Google Cloud Platform (BigQuery, Dataflow), or Azure Data Services Experience with both SQL and NoSQL databases, like PostgreSQL, MySQL etc. Ability to work with RESTful APIs and occasionally SOAP APIs for data integration. Proficiency in visualization tools like Tableau, Power BI, or experience with data visualization.
