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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. The right person for this role should be experienced with big data technologies, high performance services, organization development, and crafting implementation for either service/data products or full stack solutions.
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Experience with Big Data Technologies (NoSQL databases, Hadoop, Spark, Elasticsearch, Databricks, etc.) Experience in architecting data pipelines and solutions for streaming and batch integrations using tools/frameworks like dbt, Talend, Azure Data Factory, Spark, Spark Streaming, etc.
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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Develop and maintain core business logic, data pipelines, and key metrics for measuring health of the billing, payment, and fraud products across Disney+, Hulu, and ESPN.
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Certification in relevant technologies (e.g., AWS Certified Big Data - Specialty, Microsoft Certified: Azure Data Engineer Associate) Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., Azure, Snowflake, AWS, GCP.
$145,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake. 6+ years' experience in engineering data pipelines using big data technologies (Spark, Flink etc.
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Data backup and recovery solutions (Datto, Code42, AWS Glacier, etc. · Apple MDM (Jamf, Addigy) experience is a big plus. We are looking for a self-motivated and talented MSP Systems/Network Engineer to join our California-based Managed Services Provider.
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Proven experience with Big Data Analytics, Consumer Data Platforms, and Storage systems for media, entertainment, games, or sports, such as Content Lakes and Content Archives, as well as Media Asset Management (MAM) and Production Asset Management (PAM.
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The Regional Data Coordinator serves as a team member with several social service professional and paraprofessional staff ensuring the delivery of quality care for contracted agencies as well as adhering to the mission of St. Joseph Center.
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Background in Application Development, Project Management, or Organizational Change Management is a big plus. We engage consumers and fans through our franchise brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Matchbox, Monster High, MEGA and Polly Pocket, as well as other popular properties that we own or license in partnership with global entertainment companies.
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3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies. Build next-gen cloud based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availability.
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The Subscriber Lifecycle Analytics team is looking for a Data Analyst who will help to measure, understand, and take action to mitigate subscriber churn across a growing ecosystem of Disney's streaming service offerings (Disney+, Hulu, and ESPN.
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Familiarity with additional big data tools and platforms such as ClickHouse, Druid, Snowflake, Impala, Presto, Kinesis, etc. 3+ years of hands-on experience in big data development using technologies such as Spark, Flink, Singlestore, Kafka, Nifi, and AWS big data services.
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Senior Critical Facilities Engineer V (Data Center) Joining our operations team means that you will be at the forefront of all we do, maintaining critical facilities infrastructure as part of a close-knit team delivering best-in-class service to our data center customers.
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We are a product-minded team who blends elements of UX design, Product Strategy and Data Mining to build user-centric tools that bring insights into the evolving complexities of our supply chain.
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We are looking for a Senior Machine Learning Operations Engineer who is passionate about all things data. Spark, Snowflake, Big Query, Postgres, Hive, HDFS. Distributed data technologies for building efficient & large-scale data pipelines like Hadoop, MapReduce, Spark, Flink, Kafka.
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big data jobs Title: engineer Company: Inc in Santa Monica, CA
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