<h1><strong>About Us</strong></h1><div><br></div><div><span style="color: rgba(0, 0, 0, 0.9); font-size: 14px;">Incorporated in 2014, Intuitive Apps Inc. has been deeply rooted in a legacy of transforming the industry and the way people experience technology consulting, and we’re committed to deliver a seamless, personalized experience to save costs, bring efficiencies, and making them robust.</span></div><div><br></div><div><span style="color: rgba(0, 0, 0, 0.9); font-size: 14px;">We are committed to make IT Consulting experience simpler, better and more affordable for businesses and their clients through our innovative business processes, industry best practices, continuously improving to run and change their business processes.</span></div><div><br></div>

Intuitive Apps

<div><strong>Azure Data Engineer</strong></div><br><div><strong>Company Overview:</strong></div><div>Intuitive Apps is a leading technology company operating in the None industry. We specialize in developing intuitive and innovative applications that enhance user experience and drive business success. As a market leader, we are committed to delivering top-notch solutions to our clients.</div><br><div><strong>Role and Responsibilities:</strong></div><div>As an Azure Data Engineer, you will be responsible for creating and maintaining optimal data pipeline architecture. Your role will involve designing and developing Data Warehouse solutions, assembling large, complex data sets, and identifying process improvements. You will also be involved in building the infrastructure required for data extraction, transformation, and loading using cloudbased technologies. Additionally, you will configure analytics tools, work with stakeholders to address technical issues and support data needs, and implement data tools for analytics and AI team members.</div><br><div><strong>Candidate Qualifications:</strong></div><div>- Experience in Data Engineering</div><div>- Knowledge of Data Modeling, Data Warehouse, and Data Analysis</div><br><div><strong>Required Skills:</strong></div><ul><li>Azure Data Factory</li><li>Pyspark</li><li>TSQL</li><li>PLSQL</li><li>Exposure to other ETL Tools like SSIS, Databricks</li></ul>