Join Deloitte's Technology & Transformation practice as a Data Engineering Specialist. This role focuses on modernizing data platforms, enhancing data management, and streamlining enterprise reporting. You will be instrumental in building scalable and reliable data solutions leveraging cloud technologies, data integration, and process optimization.

Our practice is dedicated to improving data accuracy, operational efficiency, and supporting informed business decisions through cutting-edge technology.

As a Data Engineering Specialist, you will be responsible for designing, developing, and maintaining scalable data pipelines and enterprise data solutions. This includes data integration, ETL development, data transformation, and quality validation. You will troubleshoot and optimize performance across cloud and on-premises data platforms.

Key activities involve leveraging Azure Databricks, Azure Data Factory, PySpark, Spark SQL, and Delta Lake for robust data processing and lakehouse architecture. You'll also contribute to data warehousing, database development, API integrations, and deployment automation, ensuring adherence to engineering standards and data governance.

We are seeking professionals with strong experience in data engineering, ETL development, and data integration. Hands-on expertise with Azure Databricks, Azure Data Factory, PySpark, Spark SQL, and Delta Lake is essential. Proficiency in SQL, PL/SQL, and experience with relational databases like Oracle, PostgreSQL, and SQL Server are required.

Familiarity with lakehouse architecture, Informatica PowerCenter, and Azure Data Lake Storage Gen2 is beneficial. Experience with CI/CD pipelines, Git, GitHub Actions, and Unix/Linux environments is also valuable. Strong analytical skills for defect analysis and a commitment to data governance best practices are expected. Excellent communication and collaboration skills are necessary for working with diverse teams and stakeholders.