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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.
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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) - Design, develop, and implement software solutions that enhance the reliability and fault tolerance of our modern data and machine learning platforms.
$82,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers - AWS, Azure, GCP; You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
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4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) - You will develop applications from ground up using a modern technology stack such as Scala, Spark, Postgres, Angular JS, and NoSQL.
$165,100 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Familiarity with at least one cloud platform, such as AWS, Azure, or Google Cloud, and understanding how Snowflake integrates with these platforms. More than 5 years of hands-on experience in cloud databases like Snowflake with deep understanding of Snowflake's architecture and how to use its features to manage and analyze data efficiently.
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Big data and cloud computing, including AWS, Azure, GCP, other related, as well as Hadoop, Spark, MapReduce, etc. Database architect with relational databases (e.g. Postgres, MySQL, MSSQL, Oracle) and other modern types of databases: graph, key-value, and document data stores (e.g. Neo4j, HDFS, MongoDB.
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Use cutting edge technologies such as Python, Scala, Spark, and a variety of AWS services to develop modern data pipelines supporting Machine Learning and Artificial Intelligence. 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Deep knowledge of software architecture and engineering standard methodologies, especially modern cloud computing stacks for processing Big Data. Experience with AWS as a cloud provider, Spark, Kafka, Hadoop, Elastic Stack, Java, Docker for containers, etc.
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This role involves developing and engineering data-related services and applications for cloud platforms, with a specific focus on AWS. Tasks will include working within an Agile DevSecOps team environment using latest cloud-native technologies to architect and implement containerized applications, CI/CD pipelines, and Kubernetes platforms using best practices and leading technologies.
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Experience with modern analytic tools, frameworks, systems, and infrastructures (cloud computing, AWS, scalable HPC, virtual machines, dockers, Hadoop, Spark). The Human Resources Research Organization (HumRRO), a non-profit national leader in workforce assessment, human capital consulting, and educational research, is seeking a full-time Data Scientist to join our growing organization.
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Experience with cloud technologies (AWS, Azure) a plus7. Experience in modern programming languages like JavaScript, Typescript, Node, Java, Python, etc. Experience with a RDBMS (SQL) or a NoSQL data store a plus4.
$150,000 - $270,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Leverage modern ML/NLP methodologies (e.g., deep learning), computing hardware (e.g., GPUs), cloud infrastructure (AWS/Azure), open-source modeling frameworks (e.g., TensorFlow, Keras, PyTorch, XGBoost.
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You will continuously integrate and ship code into our on premise and cloud Production environments. 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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We're looking for a senior data engineer to join our Data Science team and help build a modern data infrastructure that will be the pillar of the cloud-native banking future we are building.
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Use cutting edge technologies such as Python, Scala, Spark, and a variety of Cloud services to develop modern data pipelines supporting Machine Learning and Artificial Intelligence.
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modern aws cloud jobs Title: data in Washington, DC
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