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The Data Engineer will participate in the full life cycle of development, including defining, designing, implementing, and testing solutions. Responsibilities include integrating data from multiple sources, developing reports with Tableau and PowerBI, and improving engineering processes. Strong data modeling and warehousing knowledge is required.

As a Full Stack Engineer, you will create innovative software solutions, collaborating with a global team. Key responsibilities include utilizing .NET technologies, cloud services (AWS/Azure), and web frameworks like React JS and Angular while following Agile methodologies. You will document software processes and enhance existing applications, ensuring high-quality development and maintenance.

As an Enterprise Architect, you will leverage advanced technology to solve complex challenges, lead teams on various projects, and optimize client business operations while fostering collaboration and innovation in an inclusive work environment.

As a Data Engineering Consultant at Inspire11, you will focus on transforming and managing data across systems, collaborating with clients on ETL solutions, analyzing data for insights, and configuring database platforms. You will also engage in DevOps practices to ensure smooth data management and infrastructure setup.

As a Senior Application Architect, you will lead client projects, design and implement complex applications, develop architecture standards, and mentor a team of developers. You will collaborate directly with key decision makers and drive projects from inception to completion, utilizing modern technologies and frameworks.

As a Full Stack Developer at Inspire11, you'll design and implement user interfaces with ReactJS, build complex backend systems with technologies like Java and Node.js, conduct unit testing, and contribute to application development in a fast-paced, Agile environment.

The Data Science Consultant will analyze business problems, create Data Science roadmaps, communicate methodologies, work on end-to-end digital solutions, and identify appropriate machine learning solutions for clients. They'll also need to have experience in deploying models and using advanced analytics.