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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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Experience working with cloud technologies (Docker, Kubernetes); Azure / AWS / GCP / OpenShift infrastructure experience. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development.
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Job Description: As a Data Analytics Engineer, you will: Evolve Extract, Transform, Load (ETL) pipelines of structured and unstructured data from a verity of disparate sources to meet the needs of an advanced Insider Threat program.
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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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Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud. 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.
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Experience in Extract-Transform-Load (ETL) developmentKnowledge of ETL concepts, tools, and data structuresExperience with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, etc.
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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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Preferred Skills: Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our clients data infrastructure.
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Working knowledge of message-oriented middleware/streaming data technologies such as Kafka, MQ, Azure Event Hub, Spark, Spark Streaming. Expert-level skills in Python, Databricks, Azure Data Factory.
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3 years of technical expertise in any of the following: SQL, Python, Databricks, Azure Data Factory/Synapse and Apache Spark. Work with AGC team to develop analogous capture and reporting capabilities for air-gapped cloud environments.
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Experience with cloud technologies (AWS, Azure) a plus7. Full Stack Software EngineerTysons Corner, VA.TS/SCI w/PolyJOB DESCRIPTION:The Software Engineer should have experience with full-stack development.
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Experience with public cloud (AWS, Microsoft Azure). Experience in designing data migration solutions, archival processes, and reconciliation. 8+ years of work experience with a combination of data modeling, ETL, database operations, data services, data analytics, and data migration tools.
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PopularCertifications: AWS Cloud Practitioner,Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer. Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP.
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Demonstrated experience ingesting, transforming, modeling, and storing data in the Sponsor's cloud environments (e.g., AWS, GCP, or Azure) Demonstrated experience ingesting, transforming, modeling, and storing data in cloud environments (e.g., AWS, GCP, or Azure.
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Experience with distributed data platforms and technologies (e.g., Hadoop, Spark, Kafka) and cloud-based data services (e.g., AWS, Azure, GCP). Certifications related to data engineering or cloud platforms.
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azure cloud jobs Title: data engineer in Reston, VA
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