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Knowledge of Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Hive (Apache), Informatica, Microsoft Azure, Microsoft Databricks, Microsoft Power BI, Microsoft SharePoint, Microsoft SQL Server, MS Office Products Operation Data Integration (OLTP) and Python.
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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.
$200,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Day to day activities include data management, source control (TFS/Azure DevOps, GIT), unit testing, documentation, testing, production support, change management, software development and data integrity.
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Required 5+years experience with source control management systems such as Azure DevOps or GitHub, automated deployments, and integrations Required 3 years Experience in designing, developing, implementing, and maintaining Microsoft Dynamics 365 Case Management with Data verse and Microsoft Power Pages solutions.
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Experience with Azure Databricks for an enterprise Data Lake. Very good working experience of T-SQL. Proficiency in complex stored procedures, User Defined Functions (UDF), and query optimization.
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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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Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks. Extensive Experience on working on Azure AI services including Data Bricks and Azure cognitive services.
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The ideal candidate will have hands-on experience with Azure DevOps Pipelines, Kubernetes, Azure cloud services, and infrastructure as code using Terraform. Qualifications: Proven experience with Azure DevOps, Kubernetes, Azure, and Terraform.
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Learn more about what makes us different and how you can thrive as a Senior Data Engineer at MMA National. Solid understanding of DevSecOps, Git integration, Code deployment using CI/CD pipelines, managing work in an agile environment using Azure Boards, Confluence.
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Knowledge of working with source control using SCM tools like Azure DevOps and GIT. In this full-time, direct-hire job, under the guidance of the Solutions Engineer/Power Platform Architect, you will assist in analyzing, planning, and designing workflows, process flows, and functional attributes and map and develop milestones for Microsoft Power Platform solutions.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience designing and building data pipelines using APIs, BigQuery and Streaming ingestion methods. Knowledge in Azure IoT, Azure HDInsight + Spark, Kafka and Azure Stream Analytics is a bonus.
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It involves developing best practices, reusable code, libraries, and frameworks for cloud-based data warehousing and ETL, and uses multi-cloud, programming languages like Java, Scala, Python, RDBMS, NoSQL databases, and design enterprise data warehouse platforms.
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What you will likely bring:Strong experience in Microsoft Azure Proficiency in data processing frameworks such as Azure Spark, or cloud-native data processing services (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB) Experience with data integration and ETL (Extract, Transform, Load) processes, including tools like cloud-native orchestration services.
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Manage services from Public Cloud Hyperscalers like Microsoft Azure, Amazon AWS, Oracle OCI, Google GCP, and Alibaba Cloud on services like Cloud Compute, Storage Services, Data Services, DevOps, CI/CD, MicroServices, Service Mesh, Containerization, Artificial Intelligence, Machine Learning platforms and End-to-End Observability.
$203,700 a yearFull-timeExpandApply NowActive JobUpdated Today
hands on microsoft azure devops data engineer jobs Company: Accenture in TX, Hawaii
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