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Implement cutting-edge AI/ML techniques, including Generative AI, to boost the efficiency of the platform and data engineering processes. We are looking for a passionate Principal Engineering to help architect and scale the global data platform systems and services for our new global streaming app, Max, as well as any streaming and non-streaming initiatives within the company.
$175,700 - $326,300 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - 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. As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.
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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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Work with customer data and own the development of an AI solution from ideation to productionLeverage integrations with big data frameworks (e.g. Databricks) as needed to develop solutions for customers.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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With leadership from big tech like Google, Apple, Microsoft, and hyper growth startups like Nest, Waymo, TaskRabbit, and Casper, we’re motivated to make the world a happier and healthier place for modern families.
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2+ years of experience in big data and event streaming technologies: Spark, Kafka, etc. 2+ years of experience in cloud technologies: Azure(big plus), AWS, OpenStack, etc. Minimum of 4+ years experience with databases and data modeling / design (SQL and NoSQL) And.
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Familiarity with the utilization of big data and predictive analytics, such as IRI or Nielsen, to produce consumer targeted insights. Use analytics skills to participate in the formulation of strategy and infrastructure development, data collection processes, analysis, and program development.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Strong experience with big data technologies such as Spark, Kafka, Kinesis, Airflow, Hadoop, Hive, Databricks, Snowflake etc. Experience building and optimizing big data pipelines, architectures, and data sets.
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We've got the planet's biggest streaming guide for movies, TV, and sports, and we put user data to work promoting Hollywood's big hits and indie gems. JustWatch delivers data-driven digital marketing for the global entertainment business.
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We are currently looking for instructors to teach in the following Data Science Courses: Data Science Fundamentals Introduction to Data Science Exploratory Data Analysis and Visualization Big Data Management Machine Learning These courses are held in Westwood, CA. Classes held in person meet once a week for 11 weeks.
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Positioned at the center of big data, innovative technology, and multichannel media, Veeva Crossix provides most life sciences companies with insights to help make strategic business decisions and drive improved patient outcomes.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Familiarity with big data processing tools (e.g., Hadoop, Spark) is advantageous. Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
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Specific compensation is determined through interviews and a review of relevant education, experience, training, skills, geographic location and alignment with market data. If you are someone who can be yourself, advocate for others, stay nimble, dream big, own every outcome, and think global but act local – come join our team.
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LANES uses the Mirth technology, AWS cloud and Google Big Query and FHIR, to link healthcare organizations and to maintain the core technology infrastructure of the Health Information Organization.
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As a Lead Data Lead , you will be building a Big Data ecosystem using Spark and Scala. You will work hand in hand with VP of Engineering to define and implement a strategic vision for data engineering within the organization.
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