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Proven experience in data engineering roles with a strong track record in designing, implementing, and maintaining Data Warehouses, particularly on the Google Cloud Platform and BigQuery.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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We are seeking a Data Scientist with relevant DFS or Sportsbook experience to help support our risk and trading function. Support risk and liability management with respect to Sleeper's DFS operations, conducting data analysis and modeling to identify trends, patterns, and insights.
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Collaborate with other linguists and data operations teams in data collection, data curation, translation, localization and annotation efforts. We are seeking candidates with native or near-native fluency in Italian with strong linguistic data analysis and language technology experience to manage data collection, data synthesis and data annotation tasks, translation-localization and ML model improvements.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies.
$199,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm.
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Implementation and tuning experience in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive), Database (such as Oracle, MySQL, PostgreSQL, MS SQL Server), NoSQL (such as DynamoDB, HBase, MongoDB, Cassandra, design principles) and Data Warehousing (such as Redshift, Teradata, Vertica, schema design, query tuning and optimization) and data migration and integration.
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Professional Experience: At least 5 years of experience in data engineering, with a strong focus on data integration and pipeline construction in cloud environments and enterprise data warehouses like Snowflake.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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This role involves setting up and maintaining permanent data pipelines from diverse sources into our data fusion engines, specializing in drone data, satellite imagery, RF emissions, OPIR data, Ad tech, AIS, ADSB, CTV, and full-motion video data.
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5+ years of experience with Data and Analytics Platforms on public clouds and/or Azure such as Databricks, Synapse, Fabric, Snowflake or Big Query. The Chief Data Officer (CDO) - Americas is a role within our enterprise sales organization.
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The Sr. Partner Solutions Architect will help the Dremio Alliances team build an expansive Partner ecosystem that includes technology vendors such as AWS, Microsoft, NetApp, VAST Data, Pure Storage, MinIO, and other technology ecosystem partners.
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Proficiency in database technologies for data storage and retrieval (e.g., PostgreSQL, MongoDB, BigQuery). Collaborate closely with data scientists, software engineers, and machine learning engineers to integrate models into scalable pipelines.
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data job in Seattle, WA
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