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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 in architecting data engineering pipelines/data lakes within cloud services (AWS, GCP etc. Assist with the implementation of data migration/pipelines from on-prem to cloud/non-relational storage platforms.
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Proven experience as a Site Reliability Engineer (SRE) or similar role, with a focus on AWS cloud infrastructure. Experience with infrastructure as code (IaC) tools such as Terraform or AWS CloudFormation.
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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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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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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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Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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6+ years of IT experience with 4+ years of AWS Development and Cloud Architecture. Strong Python, Strong working AWS experience, Databases (Oracle, PostgreSQL, Aurora) Data engineering (EMR, PySpark, Redshift, Glue), Serverless experience (Lambda, step functions), containerization (ECS with Fargate.
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4+ years of experience with a public cloud (AWS : Step functions, Glue, Lambda, DynamoDB) Develop and architect scalable data pipelines and ETL processes using programming languages such as Python, Scala, frameworks like Spark, and AWS services like Glue, Lambda, NoSQL databases, Serverless workflow Orchestration using step functions.
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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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The ideal candidate will have a strong background in data engineering and extensive experience with AWS Cloud services. AWS Certified Data Engineer. Implement and manage data architecture on AWS, ensuring scalability, reliability, and security.
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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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Must have + years’ experience in utilizing AWS cloud service. Must have + years of developing data centric application using Spark/Scala or Python running on EMR or AWS Glue. Must have data pipeline orchestration experience using self-created pipelines or using AWS step functions handling pipeline using Python based AWS Lambda.
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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). Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies.
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aws cloud jobs Title: data engineer in Reston, VA
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