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Data Engineer Azure

Oliver James Associates in BRUSSEL
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Online sinds 29 nov. 2024
Your key responsibilities include: Data Pipeline DevelopmentDesign, implement, and optimize scalable and efficient data pipelines using Azure Data Factory, Azure Databricks, and other Azure services.Ensure seamless data ingestion, processing, and transformation across structured, semi structured, and unstructured data.Data IntegrationIntegrate data from diverse systems, including on premises databases, cloud platforms, and third party APIs, ensuring high accuracy, consistency, and reliability.Use modern ETL/ELT practices to manage large scale data pipelines.Data TransformationApply data cleansing, validation, and enrichment techniques to prepare data for real time analytics and reporting.Work extensively with tools such as Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL Data Warehouse to transform data into actionable insights.Data ModellingCreate and maintain advanced data models, including star and snowflake schemas, to support enterprise level analytics.Implement best practices for data warehousing, ensuring scalability and optimal performance.Performance OptimisationContinuously monitor and improve the performance of data pipelines, ensuring scalability, cost efficiency, and minimal downtime.Optimize storage and compute usage within Azure to reduce costs.Collaboration & Stakeholder EngagementCollaborate with data scientists, analysts, and business stakeholders to understand their data needs and deliver tailored solutions.Act as a trusted partner to cross functional teams by ensuring alignment on business goals and data strategies.Documentation & Knowledge SharingCreate and maintain comprehensive documentation for data pipelines, data flows, and architectures, enabling effective team collaboration and troubleshooting.Contribute to the development of internal best practices and knowledge sharing forums.Troubleshooting & SupportDiagnose and resolve data related issues quickly, ensuring data accuracy and minimal disruption to analytics and reporting workflows.Provide proactive support to address technical challenges in data engineering operations.Cloud Best Practices & InnovationStay current with the latest Azure updates, features, and trends, leveraging innovative solutions to enhance data engineering processes.Implement secure, compliant, and cost efficient architectures while adopting cutting edge Azure services.