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Experience with cloud-native data services such as AWS Aurora RDS, PostgreSQL, MySQL, DynamoDB, OpenSearch, Glue, Athena, QuickSight, etc. Implement the new database solutions across multiple infrastructures including AWS, GCP, and Microsoft Azure.
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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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Work with cloud platforms like AWS , Azure , and GCP to scale and deploy AI solutions. Knowledge of cloud services (AWS/Azure/GCP) and model fine-tuning. The company specializes in Business and Management Consulting, AI/ML, Data Analytics & Visualization, Cloud Data Warehouse Migration, Snowflake Implementation, Informatica Implementation & Upgrade, Staffing Services and Data Management Solutions.
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Experience with Cloud platforms (AWS, Azure, GCP). Altus Consulting is seeking a skilled Data Engineer to join our dynamic team. Design and develop data pipelines using industry-standard tools and technologies (e.g., Apache Spark, Kafka, Airflow.
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Working knowledge of AWS Cloud Formation, JSON, and Python scripting languages. 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.
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Familiarity with cloud data platforms (AWS, Azure, Google Cloud) We are seeking a skilled Data Engineer to join our team. Experience with big data technologies such as Hadoop, Spark, or Kafka.
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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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Familiarity with cloud platforms (AWS, GCP, Azure) and their data services. Experience with distributed data processing frameworks such as Apache Kafka, Spark, or similar.
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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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5+ years of experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP) Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion.
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Experience with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, etc. Currently, ManTech is seeking a motivated, career and customer-oriented Cloud Data Engineer to join our team.
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Keywords: Reston VA Jobs, Data Engineer, NiFi, Python, PySpark, Amazon Web Services, AWS, Azure, or Google Cloud Platform, GCP, SQL, NoSQL, Data Warehouse, Data Lake, ETL, Security Clearance, Virginia Recruiters, IT Jobs, Virginia Recruiting.
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Experience supporting AWS, Azure, OCI, and/or Openstack cloud API. The position requires skills in managing data center hosting environments, enterprise virtualization, network and security engineering, system performance tuning/monitoring, cloud computing, vulnerability management/patching, and overall network infrastructure troubleshooting.
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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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Experience with cloud-based data services and platforms (e.g., AWS, Azure, GCP) is a plus. We are a recognized leader in personnel security and vetting solutions, Agile, DevOps, DevSecOps, data analytics, and cloud solutions.
$115,000 - $125,000 a yearFull-timeExpandApply NowActive JobUpdated Today
azure aws cloud jobs Title: data engineer in Sterling, VA
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