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Proficiency with data platform architecture, design, data dictionaries, multi-dimensional models, objects, star and snowflake schemas as well as structures for data lakes, data science, and data warehousesExtensive experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP.
$181,000 - $241,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake, Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with AWS cloud services used often for data engineering including S3, EC2, Glue, Lambda, RDS, or Redshift. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Dbt and AWS 'big data' technologies.
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Knowledge of statistical analysis, hypothesis testing, and design of experiments is a plus (changed to required if looking for AI optimization professional) Experienced in AWS/Azure Cloud Platforms focused on Data Tools is a plus Experienced in Data Visualization Tools, MLOps, and MLCanvas.
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Understanding and working knowledge of cloud services and platforms (e.g., AWS, Azure, Google Cloud) related to AI. Experience on big data technologies and tools (e.g., Hadoop, Spark.
$73,000 - $220,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data technologies such as Hadoop, Spark, or cloud-based platforms like AWS, Google Cloud, or Azure. You stayup to date with the latest advancements in AI, data science, cloud computing, and related technologies.
$176,700 - $282,720Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for AI model deployment. Experience with big data technologies such as Hadoop, Spark, or Kafka.
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We’re taking a lot of semi-freeform data and applying structure to it and doing a lot of querying to the cloud bill. While we’re ingesting and working with many, many terabytes of data, the ingestion is batched from S3 into ClickHouse where acceptable latency is measured in hours, so typical data engineering concerns (eg, streaming data) aren’t a concern.
$150,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, Databricks, EMR. Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake.
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At AWS Enterprise Support we’re looking for a Sr. Technical Account Manager (TAM) to influence the largest enterprises in the world to gain the best value and service from AWS. In the role, you will support our customers’ creative and transformative spirit of innovation across technology areas, such as Compute, Storage, Database, Big Data, AI/ML, Networking, Serverless and more.
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Familiarity with big data manipulation and analysis tools (e.g., SQL, Spark, Hadoop) along with experience building and implementing models in a cloud-based environment (e.g., Azure, AWS, etc.
$152,000 - $192,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with machine learning, data mining, econometric modeling, and general statistical modeling. Lead the curation and analysis of pertinent data for forecasting and tuning models.
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Who We Are: StreamSets is a Gartner Cool Vendor in Data Management and a Fortune Great Place to Work. StreamSets has backing from premier Silicon Valley VC’s, founders that have a deep understanding of the market, and an elite engineering team that has delivered an award-winning, disruptive technology built from the ground up for the modern multi-cloud, big-data world.
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Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage). Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka.
$130,000 - $150,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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This position specifically is part of the WWSO Startup team, where you will be a Technical Business Developer that helps Startups adopt AWS' technologies with a focus on Amazon's Accelerated Computing portfolio (i.e. HPC, AIML, big data) , among others.
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