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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.
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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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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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Establishing the cloud and on-premise connectivity in different systems like ADLS, ADF, Synapse, Databricks 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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Experience and knowledge of cloud data platforms (such as AWS, Azure, Google Cloud Platform and Snowflake) and other data technologies (such as Informatica, Collibra, etc.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Design, build, and maintain scalable and robust data pipelines using various cloud services and tools such as AWS, Azure, SnapLogic, Apache Airflow, and Prefect. You will work with tools like Snowflake, Spark, Kafka, Airflow and cloud data platforms to create robust data architectures and enable scalable and efficient data collection, storage, processing and analysis.
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Demonstrated experience with implementing data science workflows in cloud-based platforms (e.g., AWS, Azure, etc. Demonstrated experience with implementing data science workflows in cloud-based platforms (e.g., AWS, Azure, etc.
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5+ years of experience with a public cloud, including AWS, Microsoft Azure or Google Cloud. 5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Azure cloud computing, including big data technologies such as Azure Databricks cluster management. Expert with Azure cloud computing, including big data technologies.
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Experience with Cloud-based services (AWS/Azure) Experience with Azure, Snowflake, and Databricks administration and Data Lakes. As a Platform Engineer, you are part cloud engineer, part database administrator with a strong focus on security and governance.
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5+ years of experience with data warehousing, including AWS Redshift, MySQL, or Snowflake. As a lead big data engineer at Booz Allen, you'll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data infrastructures and pipelines. 4+ years of data warehousing experience (Redshift or Snowflake.
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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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Significant experience with industry-standard platforms and tooling including AWS, Azure, Data Cloud, relational and non-relational solutions, Databricks, Snowflake, Qlik, Tableau, etc.
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azure cloud jobs Title: data in Washington, DC
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