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IBM
Job description Establish and implement best practices for DBT workflows , ensuring efficiency, reliability, and maintainability. Collaborate with data analysts, engineers, and business teams to align data transformations with business needs. Monitor and troubleshoot data pipelines to ensure accuracy and performance. Work with Azure-based cloud technologies to support data storage, transformation, and processing Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong MS SQL, Azure Databricks experience Implement and manage data models in DBT, data transformation and alignment with business requirements. Ingest raw, unstructured data into structured datasets to cloud object store. Utilize DBT to convert raw, unstructured data into structured datasets, enabling efficient analysis and reporting. Write and optimize SQL queries within DBT to enhance data transformation processes and improve overall performance Preferred technical and professional experience Establish best DBT processes to improve performance, scalability, and reliability. Design, develop, and maintain scalable data models and transformations using DBT in conjunction with Databricks Proven interpersonal skills while contributing to team effort by accomplishing related results as required Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills azure databrickssql queriessql serversqlssis microsoft power bipythonazure data lakessasmicrosoft azurepower bidata warehousingpysparkazure data factoryt-sqlazure logic appsazure functionssql azuresparkssrsazure cosmosdbetlmsbi