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Integrate a business logic solution with the PySpark Framework, which is supported by the Azure Databricks, Google Cloud Dataproc, and On-Premise Spark environments. 5+ years of expertise with cloud platform deployment (Kubernetes, PCF, GCP, Azure, AWS.
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Intimate knowledge of cloud platforms such as Google, Snowflake, AWS, Azure and Databricks. Familiarity with cloud platforms such as Google, Snowflake, AWS, Azure and Databricks, and is comfortable working with teams discussing different tools within these platforms.
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Experience with Azure Data Factory, Azure Databricks and Snowflake highly preferred (similar cloud technology experience also considered). Senior Azure Data Engineer (FULL TIME) (Local Candidates Only.
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Expertise in two or more data estate workloads like Microsoft’s Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB, Azure SQL, HDInsight, etc.) Certifications with Azure Data Engineer, Azure AI Engineer or equivalent industry certifications.
$237,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate will have a strong background in Commercial real estate and data engineering and be proficient in utilizing Snowflake, Azure, Python, H2O, scikit-learn, and TensorFlow.
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Cloud Integration: Oversee the integration of Databricks with cloud platforms (e.g., AWS, Azure) and other data tools, ensuring seamless data flow and accessibility. Familiarity with cloud services (AWS, Azure) and data storage solutions (e.g., Delta Lake, Azure Data Lake.
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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. Center 2 (19050), United States of America, McLean, VirginiaSenior Manager, Software Engineering, Full Stack.
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Knowledge of Azure Cloud deployments using Azure AD, PowerApps, AI& ML using PowerAutomate,. Knowledge of Splunk, AWS, Java, Python, Angular, Azure, IOS, Script/Coding (Javascript, C#, C.
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Experience with the Azure platform: Azure Synapse Analytics, Azure Data Factory, Function Apps, Azure Databricks. Created Builds and Releases in Azure DevOps. Designed and developed ETL solutions using Azure Data Factory and SSIS.
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Experience in Microsoft 365 and Google Workspace environments, Hybrid Windows and MacOS endpoint environments, Cisco Networking equipment, Windows and Linux server environments, Cloud architecture (AWS, Azure, GDP), GitHub and server virtualization (VMWare.
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You will also understand Azure DevOps for structured development, including task management, and managed code deployment (including CI/CD pipelines). Data Movement (Apache Spark, plus Azure Data Factory and legacy SSIS.
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Familiarity with administrating directory services, Windows and Azure AD, SSO, MFA and role-based access control(RBAC) -Experience administrating directory IAM systems, access controls, security and risk management, and security governance fundamentals.
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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 a valuable addition.
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Preferred but not required: Certifications in cloud platforms, such as AWS Certified Solutions Architect, AWS Certified DevOps Engineer, or equivalent in GCP or Azure. Requirements Education and Experience: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field or equivalent industry experience in cloud infrastructure and DevOps roles.
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3+ years sales or pre-sales experience with cloud platforms (Amazon Web Services, Google Cloud Platform, Microsoft Azure), or cloud-native SaaS solutions (Snowflake, Databricks, CrowdStrike, etc.
$220,200 a yearFull-timeExpandApply NowActive JobUpdated Today
azure job Title: engineering manager Company: Jobget in Bronx, NY
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