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2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Senior Data Engineer (Python, Kafka, Databricks, AWS) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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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 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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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 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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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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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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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 platforms such as AWS, Azure, or Google Cloud. Proven experience as a data engineer in a similar role, with a strong background in data management, data processing, and distributed systems.
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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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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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4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Design, deploy, and support cost-efficient AWS solutions as well as systems for data collection, storage, access, and analytics at scale.
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Utilize programming languages like Java, Scala, Python and expertise in Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. We also recognize that many other businesses are facing similar data management needs as they accelerate their cloud and data journeys, and are exploring how best to bring some of the tools to market as enterprise B2B software solutions.
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azure aws cloud jobs Title: data engineer in Reston, VA
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