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Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) are.
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Using different Open Source, Big Data, and Cloud technologies on Microsoft Azure. Mandatory: Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL Database. As a Principal Data Engineer (Azure), you would have hands on experience working on Azure as cloud, Databricks and some exposure/experience on Data Modelling.
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Having ML-related certifications can be a plus, such as Microsoft Certified: Azure AI Engineer Associate or Databricks ML Engineer. Proficiency in Azure cloud services, including AzureML, Azure DevOps, Azure Kubernetes Service (AKS), Azure Databricks, and other relevant Azure services.
$135,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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SCHIE delivers the core infrastructure and foundational technologies for Microsoft's 200+ online businesses including Teams, OneDrive, Office 365, Xbox Live, Skype, Bing, MSN, and the Microsoft Azure platform globally.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. 2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning.
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Experience in implementing Data Lake with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS, Experience of working in Agile projects and following DevOps processes with technologies like Git, Jenkins & Azure DevOps.
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A comprehensive foundation with working knowledge of Azure Synapse Analytics, Event Hub & Streaming. Optional: Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB and Purview.
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Azure SQL Database. Experience in using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic Search. Some experience of using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic.
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Design and build scalable & metadata-driven data ingestion pipelines (For Batch and Streaming Datasets) Good Understanding of different file formats like Delta Lake, Avro, Parquet, JSON and CSV. Adept understanding of different file formats like Delta Lake, Avro, Parquet, JSON, and CSV.
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Strong programming, unit testing & debugging skills in SQL, Python or Scala/Java. skills in SQL, Python, or Scala/Java). A passion for writing high-quality code and the code should be modular, scalable, and free of bugs (debugging.
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Microsoft Azure Certified Exam AZ-300: Microsoft Azure Architect Technologies. Microsoft Azure Certified Exam AZ-301: Microsoft Azure Architect Design.
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Microsoft Azure Certified Exam SC-200: Microsoft Security Operations Analyst. Knowledge and/or experience of Microsoft Azure Synapse, Azure Data Factory and Azure Data Lakes.
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Any Microsoft Azure VMware Solution training/certification. Microsoft Certified - Microsoft Azure Virtual Desktop AZ-140. Microsoft Certified - Azure Solutions Architect Expert Exam AZ-305.
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Cloud Infrastructure: Virtual Machines, Azure Database, and storage technologies (Storage Accounts, SQL Server, CosmosDB), Virtual Networks, Azure Site Recovery, Traffic Manager, Azure Automation, ARM Templates, Azure Load balancer, API Gateway and Azure AD.
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You will build and learn about a variety of analytics solutions & platforms, data lakes, modern data platforms, data fabric solutions, etc. Working at Tiger Analytics, youll be at the heart of an AI revolution.
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