Azure Data Engineer

Decskill, founded in 2014 as an IT Consulting Company, places paramount importance on its greatest asset: its people.
Our main mission is to deliver value through knowledge and talent, and we achieve this by fostering a culture of excellence and investing in the development and well-being of our people.
With over 600 dedicated professionals and offices in Lisbon, Porto, Madrid, and Luxembourg, Decskill operates across three core areas:DECSKILL TALENT: We believe that our people are key to our success.
Through Decskill Talent, we empower our team to embrace the digital transformation challenges of our clients.
We collaborate with clients to drive innovation, ensuring project success and business growth.DECSKILL BOOST: Equipping our team with the latest tools and methodologies, we optimize Time-to-Market and deliver innovative solutions exceeding client expectations.DECSKILL CONNECT: Our team collaborates closely with clients to implement and manage IT infrastructures that generate long-term value.At Decskill, we believe that by nurturing and empowering our people to confront the challenges of digital transformation, we create value not only for our clients but also for our entire ecosystem, fostering a digital community dedicated to growth and progress.We are searching for an Azure Data EngineerResponsibilities:Design, develop, and maintain data pipelines using Azure Data Factory (ADF) .Implement and manage data storage solutions using Azure Data Lake Storage (ADLS) Gen 2.Design, develop, and maintain data pipelines pipelines using Azure Synapse Analytics.Utilize Azure Stream Analytics for real-time data processing and analytics.Ensure data quality and integrity through effective data governance practices.Implement CI/CD pipelines using Azure DevOps for automated build and deployment.Collaborate with data analysts and other stakeholders to understand data requirements and deliver solutions that meet business needs.Monitor and troubleshoot data pipelines to ensure optimal performance and reliability.Stay up to date with the latest industry trends and best practices in data engineering and cloud technologies.Requirements:Experience with Azure Functions for serverless computing.Knowledge of Azure Logic Apps for workflow automation.Experience with Azure Stream Analytics for real-time data processing.Familiarity with Azure API Management (APIM) for managing APIs.Understanding of Microsoft Purview for data governance and compliance.Proficiency in PySpark for data processing and transformation over either Spark.Pool or using Azure data bricksStrong experience with Azure Data Factory (ADF) for data integration and ETL processes.Strong experience of Azure Synapse Analytics for ETL processes.Expertise in Azure Data Lake Storage (ADLS) Gen 2 for scalable data storage.Experience with CI/CD practices and tools, particularly Azure DevOps.Strong problem-solving skills and attention to detail.Excellent communication and collaboration skills.Experience with Azure Functions for serverless computing.
PLUSKnowledge of Azure Logic Apps for workflow automation.
PLUSExperience with Azure Stream Analytics for real-time data processing.
PLUSFamiliarity with Azure API Management (APIM) for managing APIs.
PLUSUnderstanding of Microsoft Purview for data governance and compliance.
PLUSIf you're interested in this job, please send your CV to ****** or with reference "AzureDataEngineer".Thank You