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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.
$165,100 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
$201,400 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of experience with a public cloud, including AWS, Microsoft Azure or Google Cloud. 5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of experience with data warehousing, including AWS Redshift, MySQL, or Snowflake. As a lead big data engineer at Booz Allen, you'll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry.
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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 cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent) 4+ years of experience with AWS, GCP, Azure, or another cloud service.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Proficiency in modern on prem object storage technologies (CEPH, MinIO) and its cloud equivalents (AWS S3, Azure Blob Storage, Google Cloud Storage) As a Senior Reliability Engineer, you will play a critical role in ensuring the robustness, availability, and performance of our cutting-edge Data Engineering and Machine Learning Platforms.
$82,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Expert-level proficiency in Azure Data Factory, Integration Platforms, Python programming, DBT, and data modeling. Utilize Snowflake for efficient data storage, data warehousing, and Azure Data Factory for orchestrating and automating data workflows.
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SPLUNK, tools (CORE, SOAR, ES, UBA), SIEM, Azure Cloud, AWS cloud, Kubernetes, Docker, Rancher, Linux, or windows command line experience. Experience in DevSecOps, Cloud Security (AWS/Azure.
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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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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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Databases Experience working on a cloud platform like GCP, AWS, or Azure Experience working collaboratively with git DESIRED SKILLS & EXPERIENCE Understanding of Docker/Kubernetes Understanding of or interest in knowledge graphs Experienced in supporting and working with internal teams and customers in a dynamic environment Passionate about open source development and innovative technology The target base salary for this position is $185000-200000 USD plus bonus.
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Experience with cloud platforms such as AWS, Azure, or Google Cloud. We are seeking a highly skilled and motivated Data Engineer to join our dynamic team to contribute technical expertise in transforming raw data into meaningful insights, fostering data-driven decision-making within an innovative and collaborative environment.
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azure aws cloud jobs Title: data engineer in Mclean, VA
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