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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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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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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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Familiarity with at least one cloud platform, such as AWS, Azure, or Google Cloud, and understanding how Snowflake integrates with these platforms. Proficiency in Azure Cloud services like Azure data factory, DevOps are advantageous.
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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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2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 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.
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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.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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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3+ years of experience with a public cloud (e.g., Microsoft Azure, AWS, Google Cloud). 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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Support infrastructure design, data management and supporting architectures, dynamic resource allocation and scheduling, design of hybrid cloud architectures, mobile cloud computing, and collaborative methods for cloud federations, big data and AI platforms.
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You will build data pipeline frameworks to automate high-volume and real-time data delivery for our Hadoop and streaming data hub. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Data Engineer.
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Experience in using Data migration using cloud-native tools like AWS DMS or Azure DMS. Working experience in services of the public Clouds like AWS or Azure. Data Engineer with good knowledge of Snowflake cloud platform, architecture.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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modern azure aws cloud jobs Title: data in Washington, DC
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