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Data Ingestion to one or more Azure Services - (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing the data in Azure Databricks. Must have skills - Java, PySpark and Azure Databricks, Azure PaaS experience.
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Implement end-to-end DevOps using Azure DevOps, Docker, Kubernetes, Terraform, AWS, Azure, manifests, Helm Chart, etc. AWS, Azure, Kubernetes, AKS, EKS, Terraform, Azure DevOps, Linux Administration.
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Title Sr. Data Architect Azure & Databricks Duration 12 Months Location New York / Weehawken, NJ (Day 1 onsite ) Mandatory Skills Databricks, Azure Datalake, PySpark, Java. No of Open Positions 1.
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Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, ADLS-Delta lake, Azure functions, Logic aps, Synapse, Azure Logic Apps, Azure Storage, Azure Search, Purview, Azure SQL server, Scala/Spark/SQL/PYTHON etc.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Current Azure Developer Associate or Azure Administrator certification or equivalent AWS or GCP certification 180 Days required. Pipeline Automation: Azure DevOps (YAML, ARM), Terraform, Jenkins, Chef, Octopus Deploy or other similar tools.
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At least 7 years of experience in IaC (Infrastructure as Code) set up on cloud, Azure DevOps on Cloud, Terraform, Infrastructure as Code, Azure Kubernetes Services, Kubernetes Clustering, Azure Container Registry, Docker, Jenkins, Experience working with containers, Docker, Kubernetes, CI-CD Pipeline, Monitoring tools, SRE (Site-reliability Engineering.
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Implement Azure Defender EDR policies, Purview DLP, for Azure Iaas/PaaS/SaaS/Microsoft 365, with Sentinel integration, and Security Center and Compliance Center for monitoring and managing security and compliance-related configurations.
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Experience with Azure data services, such as Azure Data Factory, Azure Synapse Analytics, Azure Event Hub, Azure Data Lake, Azure Databricks, Azure SQL Database, and others, to build end-to-end data solutions.
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Experience leveraging technologies such as Snowflake, Azure Data Factory, ADLS Gen 2, Logic Apps, Azure Functions, Databricks, Apache Spark, Scala, Synapse, SQL Server. Build the infrastructure required for optimal ETL/ELT pipelines to ingest data from a wide variety of data sources using Microsoft Azure technologies such as Azure Data Factory and Databricks.
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Stewards Individual Placements (SIP) provides individuals with service and career opportunities to strengthen communities and preserve our natural resources.
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Current Azure DevOps Expert or Azure Architect Expert certification or equivalent AWS or GCP certification required. Willingness and ability to take a code first approach to fully automate the deployment and management of cloud infrastructure and environments using Terraform, Chef, Azure DevOps, Azure Policy and other tools.
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5+ years of experience with Azure data platform including Azure SQL, Azure Data Factory, Azure Databricks, Azure SQL Data Warehouse (Synapse Analytics), Azure Data Lake Storage, Azure Cosmos DB, SQL Server, SSIS, SSRS, etc.
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The ideal candidate will have strong Microsoft Azure Cloud skills - Azure Data Factory, Azure Databricks, Power BI, SQL, Ability to guide and mentor junior engineers, Data and Analytics Thought leadership, and a passion towards Data and Analytics.
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This position will require design, development, test, debug, and support modern enterprise integration solutions and applied use of agile and scrum development skills to manage the entire software development lifecycle within Azure including Azure DevOps.
$140,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Microsoft Azure Cloud: Azure Data Factory, APIM, Function Apps, Logic Apps, Key Vault, Azure App Insights, Azure SQL, Azure DevOps. 3+ years of experience in data engineering with expertise specifically in Azure Data Factory, Databricks, PySpark, Python and related services.
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