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A master's degree in computer science, Data Science, Big Data, Applied Statistics, Bioinformatics, or a closely related computational field. Hands on experience with cloud services for data storage and processing, including but not limited to Databricks, Azure SQL Database, Google Cloud Spanner and BigQuery.
RemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland.
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Evaluate big data technologies and prototype solutions to improve our data processing architecture. Tackle challenging problems such as implementing SOA and Kubernetes at scale and overhauling our data tier on GCP and beyond.
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Proficiency in big data technologies such as Hadoop, Yarn, Spark, Presto/ Trino, Hive, and AWS EMR. Design and build the next generation big data compute platform to empower data ETL, analytics and machine learning at Airbnb.
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Knowledge of data visualization tools (Tableau, Looker) or SQL language is a big plus. Strong analytical skills and ability to turn insights from data into actions. If your answer is YES and you are eager to join a strongly data-driven and results-focused team we are looking forward to meeting you.
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At Spate, we use data science to predict the next big consumer trend in beauty, personal care & food. As the Data Operations Manager, you will play a critical role in ensuring the seamless flow of data, optimizing data management processes, and supporting the successful execution of data projects for Spate's Food & Beverage vertical.
Part-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Have big data experience spark, kafka, elasticsearch, hive. Be comfortable with Linux/Unix, VMs and Containers (Docker), Amazon Web Services and Microsoft Azure Cloud Services. devops, java, programming, python, sde, sdet, software developer, software programmer.
RemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud Platform) Proficiency in programming languages and tools such as Python, SQL, and relevant data science libraries and frameworks.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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To do this, LegitScript combines big data with the world's leading team of experts skilled in highly regulated and complex sectors, including transaction laundering detection, pharmaceuticals, online gambling, and more.
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Experience with big data technologies like Hadoop, HBase, and Spark. We are tackling some of the toughest challenges in architecture design, algorithm development, and data engineering.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Our cross-industry solutions are powered by modern technology, market intelligence, and big data to drive purposeful change and actionable outcomes. We are looking for a Data Scientist who will support our client teams with insights gained from analyzing data leveraging advance analytics techniques.
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Track record of open source contributions to data processing or big data systems (Hadoop, Spark, Celeborn, Flink, etc) Proven track record of building large scale, complex distributed systems; identifying shortcomings and optimization opportunities; and making data driven cost performance tradeoffs to influence design decisions.
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Experience with 'big data' platforms esp. At least 5 years experience with data modeling concepts in relationship and non-relational data stores (i.e. normalization, inheritance, relationships.
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If you'd like to become a backend expert who can unify data, and build systems that scale for both operations and organization, then Fathom is your next big opportunity! Fathom is on a mission to use AI to understand and structure the world's medical data, starting by making sense of the terabytes of clinician notes contained within the electronic health records of the world's largest health systems.
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Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure) is a plus. Lead end-to-end data science projects, from defining objectives to data collection, exploration, model development, validation, and deployment.
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big data jobs in Allentown, Fernley, Nevada
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