Join Deloitte's Technology & Transformation team as a Manager specializing in Azure Data Engineering. This role is crucial for our data modernization and migration initiatives, offering a dynamic environment to collaborate with leading organizations. You will be instrumental in unlocking the value within vast datasets, transforming them into actionable insights that drive fact-based decision-making and provide a competitive advantage.

Our practice focuses on business intelligence, data management, performance management, and next-generation analytics, including big data, cloud, cognitive, and machine learning technologies. This is an opportunity to be part of a global network, providing strategic guidance and implementation services to help companies manage data effectively.

As a Consultant/Senior Consultant/Manager, you will cultivate strong client and team relationships to surpass expectations. Your responsibilities will include designing, developing, and deploying solutions using various tools and adhering to design principles. You will configure robotics processes efficiently, ensuring they are maintainable and understandable.

You will also analyze existing processes, facilitate change requirements through structured change control, and resolve day-to-day issues with robotics processes. Maintaining thorough documentation for solutions, test procedures, and scenarios during UAT and production phases is essential. Coordination with process owners and business stakeholders to understand current processes and design automation workflows will also be a key part of your role.

We seek a seasoned professional with 3-10 years of hands-on experience in implementing Azure Cloud data warehouses, Azure and No-SQL databases, and hybrid data scenarios. Expertise in developing solutions using Azure Data Factory (including Azure Functions, Logic Apps, Triggers, IR), Databricks (PySpark, Scala), Stream Analytics, Event Hub, and HD Insight components is essential.

Experience working with data lake and data warehouse solutions on Azure is required. You should also have experience managing Azure DevOps pipelines for CI/CD, and ensuring source data access security through Vault, configuring authentication/authorization, and enforcing data policies and standards. A B. Tech or B.E. degree in any specialization is necessary. This role involves occasional travel to client locations, with a hybrid work model as the default.