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As a Specialist Solutions Architect (SSA) - Data Engineering on the Public Sector team, you will guide customers in building big data solutions on Databricks that span a large variety of use cases.
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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We’re looking to expand our Big Data Engineering team to keep pace. 5+ years’ experience in large-scale software development/Big Data technologies. Client is embracing Big Data technologies to enable data-driven decisions.
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Comprehensive expertise in a wide array of systems and technologies, Department of Defense (DoD) or equivalent Command, Control, Communication, and Computers (C4) systems, data science, big data analytics, ML, AI, and cognitive science is ideal.
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Keep list of data steward up to date in the data governance catalog. Support implementation of data governance capabilities in the data catalog platform. come and join our global team as a Data Governance Intern.
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Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services.
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Utilize Databricks for big data processing, analytics, and machine learning workflows. If you are passionate about data engineering, have a strong background in AWS and Databricks, and thrive in a collaborative and innovative environment, we want to hear from you.
$146,400 - $175,100 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with data warehouse and big data technologies such as Azure Synapse Analytics, Azure Data Lake Storage, Spark, Kafka, Databricks, and Containers. Support migrating big data workloads like Hadoop to Azure services like HDInsight.
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Architect data analytics solutions on Azure using services like Synapse Analytics, Databricks and Machine Learning etc. Architect Azure data storage solutions utilizing storage services like Blob, Files, Table, etc.
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Automate data platform deployment and configuration using Terraform, ARM templates and Azure DevOps. Automate data platform deployment and configuration using Terraform, ARM templates, and Azure DevOps.
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Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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Experience with ETL tools such as Azure Data Factory and Databricks. Implement metadata management, data lineage, and auditing capabilities on Azure data platforms using Purview.
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Migrate on-premises databases and data warehouses to Azure services such as SQL Database, SQL Data Warehouse, etc. 10+ years of experience in cloud data architecture with a focus on Microsoft Azure.
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To provide Architecture Solution to Design and implement cloud data solutions on the Microsoft Azure platform. Design data integration between on-prem and cloud using Azure Data Factory and other tools such as Azure Synapse Analytics.
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Skill - Big Data, Spark, SQL, parkStreaming-Kafka-Python / Scala / Java. Experience in Big Data technologies including Spark, Scala and Kafka. Job Title: Big data Developer.
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big data jobs Title: big data architect Company: Optello
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