Join our Technology & Transformation practice, where we leverage vast data resources to provide strategic guidance and implementation services. We help companies manage data from diverse sources, transforming it into actionable insights for data-driven decision-making and competitive advantage.

Our practice encompasses business intelligence, data management, performance management, and advanced analytics including big data, cloud, cognitive, and machine learning technologies. This role offers opportunities for growth within our dynamic team.

As a Consultant, Senior Consultant, or Manager within our Technology & Transformation team, you will cultivate strong relationships with clients and colleagues, consistently exceeding expectations.

Key responsibilities include: - Designing, developing, and deploying solutions using various tools, adhering to design principles and conventions. - Configuring robotic processes and objects efficiently, ensuring maintainability and clarity. - Understanding existing processes and facilitating necessary changes through a structured change control process. - Resolving daily issues encountered during robotics process execution with prompt solutions. - Maintaining comprehensive documentation for solutions, test procedures, and scenarios during User Acceptance Testing (UAT) and production phases. - Collaborating with process owners and business stakeholders to grasp current processes and design automation workflows.

We are seeking professionals with 2 to 15 years of hands-on experience in implementing Azure Cloud data warehouses, Azure and No-SQL databases, and hybrid data scenarios.

Essential technical expertise includes: - Developing solutions using Azure Data Factory (including Azure Functions, Logic Apps, Triggers, and Integration Runtimes). - Experience with Databricks (PySpark, Scala), Stream Analytics, Event Hub, and HDInsight components. - Proven experience in building data lake and data warehouse solutions on Azure. - Proficiency in managing Azure DevOps pipelines for CI/CD. - Expertise in managing source data access security, utilizing Azure Key Vault, and configuring authentication and authorization, while enforcing data policies and standards.