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Hands-on experience working with Azures PaaS offerings such as Purview, Databricks, Azure Data Lake Storage, Data Factory as well as monitoring of the environments. 2+ years of hands-on development experience with event based streaming technologies (Apache Kafka / Azure Event Hub or similar.
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Proficiency in SQL, Python, and other relevant languages, with hands-on experience in creating pipelines, data flows, and complex data transformations using Azure Data Factory and PySpark with Databricks.
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Implement data engineering, ingestion, and curation functions on Azure cloud using Azure native programming. Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI.
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As a Senior Data Platform Engineer on the MMA IT Data and Analytics Team, we will count on you to design, monitor, build, and automate data pipelines. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements.
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Significant hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure SQL, and other data sources.
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Conduct hands-on evaluation and testing of tools and technologies, including Databricks and Azure , to support data platform management, data extraction, UI/UX presentation, and generative AI.
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The Enterprise Cloud Team is looking for a Senior Cloud Engineer with hands-on Microsoft Azure cloud engineering experience and required Databricks infrastructure, performance, hands-on.
Full-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Strong hands-on experience with NPS, PCNS, DHCP, DNS, KMS, Client and PKI.Proficient in Hybrid Active Directory Environment (Azure Entra-Connect) Administration and Reporting. Strong experience on Active Directory domain integration with third party tools integration like - AAD, Okta, SailPoint, workday and phone systemsManagement of Azure AD Connect, Conditional Access policies, MFA, FIDO Authentication, Windows hello for Business setupGather requirements interacting with multiple stakeholders and Application OwnersFamiliarity in the following areas: Single Sign On, directory schema, replication topology, RBAC, User lifecycle.
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As an Azure Subject Matter expert, you will provide guidance and insights, while working closely with Software Engineering teams to leverage shared resources and create efficiencies. Operationalize large-scale enterprise data solutions and applications using Azure data and analytics services.
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Hands on experience with Azure Enterprise-scale reference architecture IaaS/Paas/Saas. Hands on experience with IaC tools like, ARM, terraform, ansible, PowerShell, python, azcli, github.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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5+ years of knowledge and technical hands-on experience managing/deploying cloud capabilities with one or more cloud environments (AWS, Azure, GCP, OCI) Hands-on experience with Prisma Cloud for cloud governance, CI/CD pipeline integration, automated remediation, and runtime protection.
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Experience with Azure/ public cloud; development and/or architecture. Strong collaborator with experience wearing multiple hats on smaller teams and cross training other team members. Decisions will be determined on a case-by-case basis.
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Creates Infrastructure as Code (IaC) scripts (Bash, JSON, YAML, Terraform, CloudFormation) Learn more about what makes us different and how you can thrive as a Senior Data Platform Engineer at MMA.Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities.
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Hands-on experience with Azure Arm Template(ARM) , PowerShell and Shell /Bash scripting, Terraform, Python, Helm charts. Hands-on experience and Knowledge with Docker and Azure Kubernetes deployments.
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Hands-on experience in Azure DevOps pipelines, Jenkins CI, Git/GitHub/TFS, Maven, MS Build, Unit tests, Sonarqube, Artifact management, Container registry, image security scan, helm charts, docker, Kubernetes.
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