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Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent) Experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Technical Knowledge: Demonstrated knowledge with some of the following software/tools: Apache NiFi, AWS Cloud environment, Java, Python, NodeJS, SQL, R, Hadoop, PySpark, Java, Git, Bash, Linux/Unix based OS.
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About Us: IntelliBridge delivers IT strategy, cloud, cybersecurity, application, data and analytics, enterprise IT, intelligence analysis, and mission operation support services to accelerate technical performance and efficiency for Defense, Civilian, and National Security & Federal Law Enforcement clients.
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Engineer within the AWS cloud data environment using Glue, EMR Serverless, Databricks, Snowflake, or similar technologies. The Data Engineer of Data Services reports directly to the VP, Data Services and is responsible for taking part in the managing, designing, and building of systems required to deliver Mosaic and RxAnte's analytic products in a scalable manner using cloud data warehouse/lake technology.
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Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery) Python, SQL, AWS, GCP, Golang, Hadoop, Snowflake, RDBMS, Kakfa, BI Reporting Tools, And Data Science Toolkits.
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In addition to taking part in the design and development of the systems, the Data Engineer will contribute to overall future cloud data warehouse/lake vision. Collaborate with product, analytical, business intelligence, and data teams to establish best practices utilizing the cloud data environment.
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The Cloud Data Engineer will design future-state, modern data architecture for transformation at the enterprise level using advanced cloud architectural principles. Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Each of us enable digital transformation for large organizations through the newest in distributed technologies as we are laser focused on end-to-end application development, DevSecOps, AI/ML and systems architecture and our methodology focuses on cloud-first and cost-effective innovation.
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As a Data Engineer, you will: Work with the team to design, code, and test cloud-based data pipelines to process and store large-scale datasets. The ideal candidate will have experience using cloud-based platforms, like AWS and Google Cloud Services, to build and maintain serverless data pipelines to efficiently process and warehouse large scale datasets.
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Job Title: Cloud Data Engineer (Azure / Fabric) We are seeking a talented and experienced Cloud Data Engineer to join our dynamic team. Proficiency in Azure cloud services, including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Synapse Analytics, and Azure Blob Storage.
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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.
$96,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Cloud Data Engineer In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI.
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We are currently seeking a Remote Cloud Platform and Data Engineer with a minimum of 5 years of relevant experience for a full-time position to assume a pivotal role in supporting our federal government client.
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We are seeking a AWS Cloud Data Engineer to join our fast-growing IT-project based consulting business. Our engineer will contribute to Army’s digital transformation efforts by consolidating and transitioning 14 legacy systems into a single automated solution in the cloud to provide real-time holistic data for up to 160,000 users.
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Rackner is looking for a Data Engineer that will be working within an Agile DevSecOps team environment using latest cloud-native technologies to architect and implement containerized applications, CI/CD pipelines, and Kubernetes platforms using best practices and leading technologies.
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cloud job Title: data engineer in Alexandria, VA
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