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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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Experience with provisioning virtual resources and building infrastructures in AWS, Google Cloud, Microsoft Azure, and Digital Ocean commercial clouds. Far Ridgeline Engagements LLC (a QinetiQ US Company) is seeking an experienced cloud data engineer/developer to help lead a growing team with a US Department of Defense operations support project developing modern, cloud-based solutions to empower customers to securely store and analyze data.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 5+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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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 3 days ago - UpvoteDownvoteShare Job
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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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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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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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Bachelor's Degree in Computer Science, Computer Engineering, Information Technology or related STEM program, or four years of equivalent level experience as a Cloud Systems Engineer. Working knowledge of AWS Cloud Formation, JSON, and Python scripting languages.
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3+ years of experience with a public cloud (e.g., Microsoft Azure, AWS, Google Cloud). Use cutting edge technologies such as Python, Scala, Spark, and a variety of Cloud services to develop modern data pipelines supporting Machine Learning and Artificial Intelligence.
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Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud. As a big data engineer at Booz Allen, you’ll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry.
$60,400 - $137,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Experience operating production workloads on Oracle/PostgreSQL (preferred) Solid understanding of data elements and their relationships between the source and target systems Experience working on real-time data and streaming applications.
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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.
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Databases Experience working on a cloud platform like GCP, AWS, or Azure Experience working collaboratively with git DESIRED SKILLS & EXPERIENCE Understanding of Docker/Kubernetes Understanding of or interest in knowledge graphs Experienced in supporting and working with internal teams and customers in a dynamic environment Passionate about open source development and innovative technology The target base salary for this position is $185000-200000 USD plus bonus.
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2+ years of experience in cloud ETL tools(Azure data factory, AWS glue) We are looking for a Senior Quality Engineer to join our data engineering team. Experience working with data warehouse tools(Snowflake, Databricks, Redshift etc.
$150Full-timeRemoteExpandApply NowActive JobUpdated 3 days ago
azure cloud jobs Title: data engineer in Mclean, VA
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