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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Experience with cloud computing platforms and data warehouse solutions such as AWS, Azure, Snowflake, and Microsoft SQL Server. Experience working with data visualization tools such as Tableau, Looker, or PowerBI.
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Ensure alignment and partnership client internal stakeholders and vendors, establishing strong linkages with their service and product teams to support activities, covering on-premises and cloud technologies such as Azure Databricks, Azure PaaS services, Informatica Intelligent Cloud Services (IICS), Tibco Data Virtualization, Collibra, and Power BI.
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Strong experience with Azure cloud services, such as Azure Data Lake Storage, Azure Data Factory, and Azure Databricks. Develop, deploy, and maintain data pipelines for ingesting, processing, and storing structured and unstructured data in the Azure cloud, including ETL processes.
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Hands-on experience with Azure Cloud, including Azure Data Factory and Databricks. 4+ years of enterprise data warehouse development with SQL, Python, Azure Data Factory (ADF), Azure Databricks, Kafka, and ideally Snowflake experience.
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Familiarity with cloud computing services (AWS, GCP, or Azure) A degree in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Computational Biology, Computational Chemistry or related quantitative field (Masters or PhD preferred for Senior Manager direct hires.
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5+ years of experience with modern Cloud computing technologies: AWS and Microsoft Azure. Experience with cloud AI ML capabilities like AWS, Databricks is a plus. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
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Fluency in DevOps Concepts, Cloud Architecture, and Azure DevOps Operational Framework. Experience with Data Ingestion/ streaming tooling such as ADF (Azure Data Factory), Kafka, Five Tran, Spark, or similar technologies.
$82,000 - $261,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong public cloud infrastructure background, Oracle, AWS, MS Azure, Google, OpenStack variants. Experience with the following technologies: Oracle Fusion Data Intelligence (FDI) / Fusion Analytics Warehouse (FAW), Oracle Analytics Cloud (OAC), Oracle Data Integration (ODI), ADF, MAF, JET, OCS containers, micro-services.
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Experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Azure, or another cloud service. Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent.
$76,000 - $236,500Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands on experience in Azure cloud services like Azure Data Factory or Azure Synapse, MSSQL Db, Azure SQL DB, Azure Data Lake Storage Gen2, Blob Storage, Python etc.
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Working knowledge in cloud computing platforms such as AWS, Azure, and Google Cloud. Ability to analyze technical requirements and design new architectures, data models and ETL/ELT strategies Hands-on experience with cloud-based relational and non-relational databases and proficiency in SQL. Deliver work products that meet specifications, are free of defects, with excellent performance.
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5+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like Scala, Java, Python, SQL and GO and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
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Advanced experience with Google Cloud Platform including BigQuery Omni, Cloud Functions, Dataplex and Composer. Working knowledge of BigQuery or similar (Redshift, Azure, Snowflake, etc.
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azure cloud jobs Title: data in Bethesda, MD
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