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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
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Cloudera Data Platform Private Cloud and Public Cloud), Apache Solr as SME, automation tools (ex. Ansible, Terraform, Bit Bucket) and experience working cloud solutions (specifically data products on AWS) are necessary.
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At least 2 years of experience in cloud computing (AWS, Microsoft Azure, Google Cloud) At least 7 years of experience in software engineering or data engineering. Internally develop and deploy software, leveraging open-source technologies, machine learning, and data transformation.
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Experience with cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent) Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift, or equivalent.
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Linux / VDI Engineer - Remote Opportunity - Growing Data Analytics, AI, And Machine Learning Company
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Integris Group is partnering with a growing client of ours who specializes in Data Science, Machine Learning, Deep Learning, Data Analytics, NLP, Infrastructure, High-Performance Computing, and Quantum Computing.
$175,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Key Responsibilities : Current Methodologies: Provide expertise on existing cloud computing and DevSecOps practices used by Kessel Run, including their use of Kubernetes distributions (e.g., OpenShift, Rancher RKE, Amazon EKS.
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The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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The selected candidate will be responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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Experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks.
$236,500Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Provide technical expertise in Java programming Spring Boot microservices and big data technologies in an AWS cloud environment (Redshift Athena etc. Extensive expertise with Apache NiFi Java Java Spring Boot microservices AWS (Redshift Athena) and big data technologies.
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Quantum Research International, Inc. (Quantum) is a certified DoD Contractor providing services and products to US/Allied governments and industry in the following main areas: (1) Cybersecurity, High Performance Computing Systems, Cloud Services and Systems; (2) Space and Ground Support Systems; (3) Aviation Systems; (4) Missile Systems; (5) Artificial Intelligence/ Machine Learning Systems and Experimentation/Training; and (6) Audio Visual Systems and Services.
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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. 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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Cloud Computing: Proficient in cloud platforms like AWS, Azure, Databricks, and GCP. Agile Work Environment: Ability to work effectively within an agile team setting. Your innovative approach will harness machine learning and artificial intelligence to deliver impactful solutions, enabling customers to make informed, data-driven decisions through prototypes and scalable production systems.
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Experience managing vulnerabilities in both on-premises systems and in cloud environments, (e.g. Amazon Web Services, Microsoft Azure, Google Cloud, and Data Centers). Support the expansion of the VM program to include endpoints, mobile devices, cloud infrastructure, and more.
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data cloud computing jobs Company: Harnham in Mclean, VA
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