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Provide subject matter expertise and hands on delivery of data capture, curation, and consumption pipelines for Microsoft Azure. Extensive hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.
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Experience with Terraform Cloud and Azure DevOps Experience with Jira and ServiceNow Competence in a wide range of IT skills including networking, systems administration, data protection, information security and CI/CD tooling.
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Strong hands-on experience in writing positive and native test cases in Azure DevOps as per Salesforce Application needs. Participate in vendor requirement sessions with customers and understand the requirements and be comfortable writing Test Plans/Test Suites in Azure DevOps and easily maintainable for SOM. Work with the customer, vendor, and Development Team to define Test scripts based on requirements for new projects and any future enhancements.
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Net, SQL Server/SSIS/SSAS Reporting tools Angular / React Azure DevOps Visual Studio Azure DataBricks, Data Factory Domain experience : Working knowledge of Investment Securities Trading, Operations, Compliance workflows & Analytics) Designed and developed the applications using Agile Scrum methodology.
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Minimum 5 years' experience in data engineering with a proven track record in the Azure ecosystem and with Azure DevOps. Design and implement complex data models on Azure Synapse Analytics to support data warehousing and big data solutions.
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Azure certifications such as Microsoft Certified: Azure Solutions Architect, Azure DevOps Engineer, or similar are strongly preferred. 3-5 years of hands-on experience with Microsoft Azure cloud services and infrastructure management.
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At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Software Engineer.
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Experience on DevOps tools chain like GitHub, Jenkins, SonarQube, blaze meter and Deployment Tools, Terraform and chef). Strong experience in CI tools Jenkins/Azure DevOps or equivalent, Jenkins shared library development is a must.
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Extensive working experience with Azure DevOps Strong knowledge of Container orchestration Platform like Kubernetes, OpenShift, AKSAbility to work in a fast-paced environment, frequently collaborating with multiple teams for solutions support debugging, and troubleshooting.
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Experience writing script languages in Groovy, Python, PowerShell, Golang, MSBuild, Terraform, ARM Templates, or BicepExtensive hands-on to integrating Maven, Gradle, package managers like NPM and JSPM, build tools to application builds and troubleshooting build issues.
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Experience with workflow orchestration management engines such as Airflow, Dagster, DBT, etc Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc). What you'll bring to Circle: For Senior Data Engineer (III) 4+ years of professional data engineering experience.
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Being a domain expert on data modeling, data pipelines, data quality and data warehousing. What you'll work on: Collaborating with business teams on the design, deployment and continuous improvement of the scalable data platform that ingests, stores, and aggregates various datasets, including data pipelines, platforms, and warehouses, and surfacing data to both internal and customer-facing applications.
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Hands on experience of building data visualization dashboards in PowerBi/QLIK.- 2+yrs. - Familiarity with Databases SQL Server , Azure SQL and Azure Synapse, Oracle, RDS.- Hands on experience of working in n-tier and layered application architecture.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Data bricks, Microsoft Azure Data Engineer, and/or other cloud certifications. Hands-on development experience with Relational DBs (MS SQL Server, PostgreSQL, Oracle), as well as complex stored procedures and functions using SQL and optimization of SSIS packages and Redshift database queries.
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hands on microsoft azure devops data engineer jobs Company: Intapp in DC, Hawaii
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