Join Deloitte's Technology & Transformation practice as a Senior Consultant specializing in Azure Databricks. This role offers an exciting opportunity to work with cutting-edge leaders and organizations shaping the future of the global economy. You will contribute to our data modernization efforts, designing and developing robust data solutions that drive data-driven decision-making for a diverse client base.

As a Databricks Data Engineer, you will develop and maintain scalable data engineering solutions using Databricks, PySpark, and SQL. You will design, implement, and optimize secure, scalable, and reliable data architectures. Responsibilities include building and managing data pipelines, developing batch and near real-time processing solutions, and managing Databricks capabilities like Delta Lake, DLT, Unity Catalog, and Serverless Compute. You will also design solutions following Lakehouse and Medallion standards, optimize Spark jobs and SQL queries for performance and cost efficiency, and collaborate with stakeholders to translate business requirements into technical solutions.

We are looking for candidates with 5-12 years of relevant experience, specifically 5+ years in designing, implementing, and maintaining data solutions on Databricks. Essential skills include strong hands-on experience with Databricks, PySpark, and SQL. Proficiency in Azure, AWS, or GCP cloud platforms is required, along with expertise in Delta Lake, DLT, Unity Catalog, Databricks Workflows, and Serverless Compute. A solid understanding of Data Architecture, Data Modelling, Lakehouse Architecture, Data Warehousing, and the Medallion Framework is crucial. Experience with GitHub, CI/CD pipelines, Agile delivery models, and DevOps practices is also necessary. Excellent analytical, troubleshooting, performance optimization, stakeholder management, and business requirement gathering capabilities are expected.