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VW is a German multinational automotive manufacturing corporation headquartered in Wolfsburg, Germany. VW is one of the world’s largest automaker by sales. VW sold 10.9 million vehicles in 2019. The group comprises of 12 brands from seven European Countries: Volkswagen, Audi, Lamborghini, Porsche, Bugatti, Bentley, Ducati (motorcycles), Skoda, SEAT, Scania, MAN and Volkswagen commercial vehicles.\nJob Description:\nJob Summary\nWe are seeking an experienced Azure Data Engineer with a strong background in Java or C# software development to design, build, and maintain scalable cloud-based data solutions. The ideal candidate will have hands-on expertise in Azure data services, ETL/ELT pipelines, data warehousing, and cloud-native application development. You will collaborate with cross-functional teams to deliver high-quality data platforms that support analytics, reporting, and business-critical applications.\nKey Responsibilities\nDesign, develop, and maintain scalable data pipelines using Azure Data Factory (ADF), Azure Databricks, and Azure Data Lake.\nBuild and optimize ETL/ELT frameworks for processing large-scale structured and unstructured data.\nDevelop reusable components and services using Java or C#/.NET.\nWork with Azure services such as Blob Storage, Azure Functions, Event Hub, Synapse Analytics, and Key Vault.\nImplement data integration solutions across multiple enterprise systems.\nCollaborate with DevOps teams to automate deployments using Azure DevOps CI/CD pipelines.\nOptimize data processing performance, reliability, and scalability.\nEnsure data quality, governance, security, and compliance standards are met.\nParticipate in design reviews, code reviews, troubleshooting, and production support activities.\nRequired Skills\nAzure Data Engineering\nAzure Data Factory (ADF)\nAzure Databricks (Spark/PySpark)\nAzure Data Lake Storage (ADLS)\nAzure Synapse Analytics\nAzure Functions\nEvent Hub / Kafka\nDevelopment\nStrong programming experience in Java or C#/.NET\nObject-Oriented Programming (OOP) concepts\nREST APIs and Microservices architecture\nSQL and data modeling\nDevOps & Cloud\nAzure DevOps\nCI/CD Pipelines\nGit\nDocker and Kubernetes (preferred)\nDatabases\nSQL Server, Azure SQL Database\nNoSQL databases such as Cosmos DB or MongoDB (preferred)\nWorking with Embitel\nFreedom to challenge norms, make mistakes, learn and grow\nThere is no ‘I’ in word ‘Team’ and no hierarchy at Embitel\nEmployees of Embitel are partners of our excellence and growth. 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