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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark.
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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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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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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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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.
$124,700 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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 Yesterday - UpvoteDownvoteShare Job
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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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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. Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, 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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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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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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Data Warehousing Experience with Oracle, Redshift, Teradata, Snowflake, etc. We are looking for an intellectually curious, business/tech-savvy, analytical powerhouse to join The Walt Disney Company's DTCI group as a Data Analyst in Data Platform and Analytics team.
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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.
InternExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience or knowledge of deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience or knowledge of deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark.
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We're helping patients get the best care possible by working on digital health experience, analyzing big data to streamline the delivery of care, and reaching out to medically complex patients to better understand their needs.
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big job Company: Sureguard Financial in Kirkland, WA
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