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Experience with big data technologies such as Snowflake, Hadoop, Spark, Airflow, or Flink. Familiarity with data warehousing concepts and schema design principles (e.g., Star Schema, Snowflake Schema.
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You will work closely with the Executive Director, Healthcare Market (HED) to shape the strategic vision for the ecosystem and engage with healthcare stakeholders. The PositionTitle: Director, Healthcare Market (HD) - California North Ecosystem Location: Northern California Note: All candidates must reside in Northern California to be considered.
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Jobs for Humanity is collaborating with FIS Global to build an inclusive and just employment ecosystem. Jobs for Humanity is collaborating with FIS Global to build an inclusive and just employment ecosystem.
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Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark. Queer-Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more.
$160,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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As the lead data scientist on these teams, you will leverage data insights to identify opportunities, inform key product and business investment decisions, and play a critical role in helping Jerry become the first, truly connected ecosystem for car owners.
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In Support Product we build highly available and scalable, Machine Learning driven products that integrate with the broader Cash App ecosystem to help customers solve their problems. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers.
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The ideal candidate has made impactful contributions to open-source projects such as Apache Spark, Apache Iceberg, Apache Hadoop, Apache Hive, DeltaLake, or Trino, and has a passion for open-source projects and communities.
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Extensive experience with Kafka, Spark, Redis, Flink, Trino/Presto, Hadoop in complex on-premise and hybrid data environments. Technical Leadership: Leverage your deep expertise in data technologies such as Kafka, Spark, Redis, Flink, Trino/Presto, and Hadoop to lead the architecture and development of our data systems, ensuring optimal performance, reliability, and scalability.
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4-5 experience building data pipelines using Hadoop components Sqoop, Hive, Solr, MR, Impala, Spark, Spark SQL., HBase. Strong project experience with Amazon EMR/Databricks/Cloudera CDP is must.
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We design, develop and manufacture an ecosystem of technologies including proprietary flight control software, avionics, high power density motors, motor controllers, batteries, and custom carbon-fiber composite airframes.
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Embark on a career-defining journey with a pioneering startup at the forefront of the crypto ecosystem. You will also work closely with the CEO to identify market opportunities, drive product development/growth, and market penetration in the crypto ecosystem.
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The Trust team's mission is to create a holistic Cash App experience that fosters the trust, safety, security, and support of our customers and their assets - all while expanding access within the Cash App ecosystem.
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Google Cloud Platform (Data Proc, BigQuery) Data storage and analysis toolsets, including modern distributed technologies such as SparkSQL, Hadoop, Presto, Hive, Kafka, Cassandra, Redshift or other equivalent solutions.
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Focused on improving quality, the Quality Implementation Specialist will successfully implement quality assessment systems, solutions, and quality improvement projects across our end to end global quality ecosystem for TikTok. This role will be a key conduit between the TnQ Quality Solutions team and the Quality Operations and Moderation teams with oversight to all impacting change to front line teams.
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Someone with a deep understanding of big data technologies (e.g., Hadoop, Spark, Kafka) and experience in cloud platforms like AWS, Azure, or Google Cloud. Someone with a deep understanding of big data technologies (e.g., Hadoop, Spark, Kafka) and experience in cloud platforms like AWS, Azure, or Google Cloud.
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ecosystem hadoop jobs in San Francisco, CA
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