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Experience with native and third-party Databricks integrations (Delta Live Tables, Auto Loader, Databricks Workflows / Apache Airflow, Unity Catalog). Design and build data solutions using Databricks, SQL, Python, Spark, and Delta Lake in the Azure ecosystem (Blob Storage, Data Factory, Event Hubs.
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Experience with Google and Azure cloud environments · Experience in databases, analytics, big data systems or business intelligence products · Experience with building high-performance, highly available and scalable distributed systems.
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Strong background with source control management systems (GIT or Subversion); Build Systems (Maven, Gradle, Webpack); Code Quality (Sonar); Artifact Repository Managers (Artifactory), Continuous Integration/ Continuous Deployment (Azure DevOps.
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Familiarity with Azure ML Services and Azure DevOps. Strong data analytics skills for model training. Design platform architecture with Azure Cloud Services and Databricks Delta Lake. Create and publish guidelines for Data Integration services.
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Expertise in DevOps, DevSecOps and emergent experience with DataSecOps and Data Governance practices - deep experience with managing and scaling container-based infrastructure-as-code technologies from the CNCF and related orbits.
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Required knowledge and experience in the following areas and components: Azure Infrastructure: Knowledge of infrastructure components and integration considerations Azure Services Integration: Integrate various Azure services like Azure Data Factory, Azure Data Lake, Integration Runtimes, Azure Functions, Azure SQL Database, Azure Kubernetes Service (AKS), Azure Blob Storage, Azure DevOps, and others into the solution architecture.
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Minimum 5 years’ experience in data engineering with a proven track record in the Azure ecosystem and with Azure DevOps. Minimum 5 years’ experience with Data Modeling, ETL, and Data WarehousingMinimum 3 years’ hands on experience with Azure Services.
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Implement data governance, security, and compliance measures in the Big Data environment. We seek an experienced Senior Big Data Engineer to lead and enhance our data engineering initiatives.
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2 years of experience in cloud development and data lake environments, preferably within Microsoft Azure, covering a range of Azure technologies such as Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps, and Power BI.
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Familiarity with third party risk and governance concepts. Review data and assist in advising stakeholders and others on best practices and how to implement the necessary changes to address third-party risks.
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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.
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Experience or exposure in build and CICD technologies: GitHub, BitBucket, Azure DevOps, Maven, Jenkins, Nexus or Sonar Exposure to Agile development concepts Exposure quality assurance technologies: ATDD, Selenium, Cucumber, JUnit, NUnit, SoapUI or Postman Exposure of data management methodologies Exposure to serverless architectures and computing concepts Compensation Starting base salary: $92,114 - $156,880 per year.
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Certifications in Tableau, Power BI, RStudio, Azure Data Engineering and Databricks ML. Experience working with Python, R, SQL, and Spark for Big Data Analytics. Experience with Azure Data Factory and Azure Databricks ETL.
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Knowledge and use of one or more programming language: e.g., Python, Scala, Java. Experience in utilizing any cloud-based governance solutions, like Open Policy Agent (OPA), Strya-DAS, Immuta, Privacera, Gatekeeper, AWS Data Governance tools, Google Cloud Data Catalog/DataPlex, or Microsoft Azure Purview, to manage and govern access across various cloud environments.
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The Manager of IT GRC will be responsible for overseeing cyber security, data governance, and IT controls audit topics, among other areas. Vendor and Third-Party Risk Management: Assess and manage risks associated with third-party vendors and service providers.
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