Databricks Engineer

Help design, build and continuously improve the clients online platform. Research, suggest and implement new technology solutions following best practices/standards. Take responsibility for the resiliency and availability of different products. Be a productive member of the team. Requirements Hands-on experience with Databricks, including Python and SQL development. Strong expertise in dbt for data modeling and transformation. Experience with Apache Spark and Python for data engineering and processing. Proficiency in Azure Data Factory for data orchestration and pipeline development. Knowledge of Azure DevOps for source control and CI/CD. Experience with Power BI, including DAX (preferred). Familiarity with Cosmos DB. Exposure to SSIS, SSRS, and Master Data Management (MDM) is preferred. Good understanding of Data Governance and Data Quality practices. Strong hands-on experience with Databricks (Python and SQL). Expertise in dbt for data modeling. Experience with Azure Data Factory for orchestration. Working knowledge of Azure DevOps, Power BI (DAX), and Cosmos DB. Experience working in a modern, industrialized data environment with a strong focus on Data Quality and Data Governance. Benefits A challenging, innovating environment. Opportunities for learning where needed.