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Presto, Hive, SparkSQL, Cassandra, or Solr, and other Big Data query and transformation experiences a plus. Data Processing platforms such as Databricks (or Snowflake) Presto, Hive, SparkSQL, Cassandra, or Solr, and other Big Data query and transformation experiences a plus.
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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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Experience in architecting, designing, building automation, workflows, custom objects/apps, declarative functionality, triggers, migration tools in BMC Helix platform and transition such platform to Open Source is a big plus.
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Apache Spark™ : Develop the de facto open source standard framework for big data. Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop). More than 10,000 organizations worldwide - including Comcast, Cond 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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Kirkland is a suburb of the high-tech area of Seattle, which has all the big city amenities you could wish for: universities, professional sports teams, Broadway performances, intriguing art galleries, and world-class museums.
$47.35 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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. Understanding of Data & AI technologies in context of app development (e.g., SQL and NoSQL Databases, Big Data, Cognitive Service, Machine Learning etc.
$237,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. Experience with workflow orchestration management engines such as Airflow, Dagster, DBT, etc Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with big data technologies such as Spark, Snowflake, Databricks, or EMR. Familiarity with big data technologies such as Spark, Snowflake, Databricks, or EMR. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
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Big data and distributed systems (Spark, Databricks, Athena) Applying big data solutions to national security problems [Link] Data & Storage – S3, Athena, PostgreSQL, Elasticsearch/OpenSearch, Dynamo, Redshift, MongoDB.
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Big Data Integration Engineer - Job Summary The successful candidate will be part of the KBR team supporting the Test Resource Management Center's (TRMC) Big Data (BD) and Knowledge Management (KM) Team deploying BD and KM systems for DoD testing Ranges and various acquisition programs.
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Experience with the utilization of enterprise level AI, Machine Learning, and Deep Learning/ LLM platforms involving big data management and GPU compute. Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources.
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Attention to Detail: Some tasks will be big, and some will be small, but they all require attentive care to ensure accuracy and excellence. You are a team player, self-starter, creative thinker, with a high attention to detail and ability to see the big picture and challenge conventional thinking.
$119,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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WKCAC lifeguards have a front-row seat to the Big 12 Conference Swimming and Diving Championships, NCAA Zone E Diving, and NCAA Division 1 Swimming and Diving Nationals (to be broadcast on ESPN and ESPN.
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Experience with Big Data Technologies (Hadoop, Hive, HBase, Pig, Spark, Apache Druid) such as S3, EC2, and EMR (Spark) etc. Lead the transformation of a peta-byte scale batch-based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
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Experience with the Big Data technologies (Hadoop, Spark, Presto, Kafka, ClickHouse, Flink. Design and implement reliable, scalable, robust and extensible big data systems that support core products and business.
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big job Company: Google in Kirkland, WA
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