Databricks Data Engineer

• • NO C2C • • Job Summary: We are looking for a highly motivated Data Engineer with a passion for data modeling, data architecture patterns, and modern engineering practices. In this role, you will be instrumental in designing and building scalable, reliable, and high-performance data solutions that power our analytics and business intelligence platforms. You will work closely with senior data engineers and cross-functional teams to implement robust data models and pipelines using cutting-edge tools in the Azure ecosystem. This is a unique opportunity to shape the foundation of our data infrastructure and contribute to the evolution of our data products. Duties/Responsibilities: • Design & Implement Data Models: Develop and maintain dimensional data models and semantic layers that support enterprise reporting and analytics. Apply best practices in data warehousing and data architecture. • Build Scalable Data Pipelines: Create modular, reusable, and pattern-driven ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks. • Transform & Structure Data: Use Spark SQL, DBT, and Azure Synapse to transform raw data into structured, analytics-ready formats. Implement data quality checks and schema evolution strategies. • Leverage Azure Technologies: Utilize Azure services such as SQL Server, Synapse Analytics, Databricks, and Delta Lake to build and manage scalable data infrastructure. and data pipelines • Enable CI/CD & DevOps: Integrate data workflows with Azure DevOps and Git for version control, automated testing, and continuous deployment. • Support Reporting & Visualization: Collaborate with analysts and BI developers to ensure data models are optimized for tools like Power BI. • Troubleshoot & Optimize: Monitor and resolve issues in data pipelines and models. Ensure high availability and performance of data systems. • Stay Ahead of the Curve: Continuously learn and apply the latest in data engineering best practices, tools, and technologies. Required Skills/Abilities: • 5–7 years of experience in data engineering or related roles. • Proven expertise in data modeling (especially dimensional modeling) and data warehouse design. • Hands-on experience with Azure Data Factory, Synapse Analytics, Databricks, and DBT. • Strong SQL and Spark SQL skills. • Experience with CI/CD, DevOps, and version control (Git, Azure DevOps). • Familiarity with Power BI or similar visualization tools. • Solid understanding of data integration, data quality, and data transformation best practices. • Strong problem-solving skills and a collaborative mindset. Desired Skills/Abilities: • Experience with Azure Synapse Analytics • Experience with Infrastructure as Code • Experience with Databricks, DLT, Autoloader • Experience with Unity Catalog • Familiarity with Delta Lake core and Parquet files • Experience with DBT (Data Build Tool) • Working understanding of Spark Pool and/or Python • This role requires extensive experience in data modelling, specifically dimensional modelling Education and Experience: At least 5-7 years’ related experience required.