<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>Data Engineer.</strong></div><div><strong>Key Skills: Azure Data Factory, Pyspark, TSQL, PLSQL, Exposure on other ETL Tools like SSIS, Databricks</strong></div><div><strong>Data Engineering</strong></div><div> Create and maintain optimal data pipeline architecture</div><div> Design and develop Data Warehouse solutions</div><div> Assemble large, complex data sets that meet functional  nonfunctional business requirements.</div><div> Identify, design, and implement internal process improvements: automating manual processes,</div><div>optimizing data delivery, redesigning infrastructure for greater scalability, etc.</div><div> Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide</div><div>variety of data sources using cloudbased technologies.</div><div> Migrate onprem processes from backoffice systems to the Cloud Azure or Salesforce.</div><div> Configure analytics tools that utilize the data pipeline to provide actionable insights into quality,</div><div>operational efficiency and other key metrics.</div><div> Work with stakeholders including the Product, Data, Finance, and Software Engineering teams to assist</div><div>with datarelated technical issues and support their data needs.</div><div> Keep data separated and secure  Implement data tools for analytics, data scientist, and AI team members that assist them in building and optimizing current and new products.  Work with data and analytics experts to strive for greater functionality in our data systems</div><div><br></div>