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Solid experience in big data engineering, with working knowledge of Hadoop, Apache Spark, Python, and SQL. A strong background in data engineering with experience in Hadoop, Spark, and Scala is also essential for effective performance in this role.
$234,250 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Our Mission is to drive monetization and sustainable revenue growth for TikTok through data science. The successful candidate will gain an understanding of the data science techniques to power TikTok monetization and drive meaningful improvements in ads targeting and ranking models.
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As an onsite Data Center Engineer, you will be responsible for hardware deployments and acting as a point of escalation for our contracted employees responsible for addressing server break fix tickets.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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5+ years of hands-on experience developing a distributed data processing platform with Hadoop, Hive or Spark, Airflow or a workflow orchestration solution are required. Role: Google Cloud Platform Data Engineer.
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Ability to work with a small team of engineers to build, implement and commercialize a data analysis platform that manages tools including Spark, Flink, Airflow and Superset. Hands on experiences and the internals of big data tools such Spark, Dela Lake, Jupyterhub and analytics tools.
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You know data structures, you know Python and (optionaly) Go. Our tech stack Google Cloud Platform, DataFlow, Apache Beam, BigQuery, BigLake TableOpen formats IceBerg, Avro, ParquetDataProc, Spark, Flink, PrestoPython, GOApache Kafka, Kubernetes, GitLabBigTable, Mongo, Redis.
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More than 10,000 organizations worldwide — including Comcast, Condé 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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Proficiency in a comprehensive range of data engineering disciplines, including data and stream processing technologies (e.g., Spark, Flink, Kafka, Hudi), data serialization formats (e.g., Avro, Protobuf), workflow orchestration tools (e.g., Airflow), and Data Stores (e.g., Postgres, ClickHouse, Redis.
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You will weave stories with meaningful insight from data. Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
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Lead the data technology strategy and architecture for Mailchimp’s top initiatives (including our customer data platform (CDP. Lead Mailchimp’s strategy and approach to data architecture with the Intuit Data Strategy.
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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). Delta Lake : A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming.
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10 years of total working experience, 5+ years of experience working with large-scale data and building scalable & reliable systems/data pipelines; ability to understand and design complex systems preferably in the autonomous vehicle, robotics, aerospace, medical device, or automotive industry.
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Description Associate Director, Process Development Lead – Data Science:Recently, Gilead launched an Enterprise Data Science Council (EDSC), serving as a central hub to enable and coordinate enterprise-wide data science activities, establish enterprise policies related to Data Governance and AI, and provide visibility into use case investments across the company.
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Strong experience using key Python packages for data wrangling, machine learning and deep learning such as pandas, sklearn, TensorFlow, torch, transformers, LangChain, etc. You will work directly with researchers, data scientists, software engineers, and subject matter experts in the definition of new generative AI capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Sr. Data Engineer - Kohler Ventures Work Mode: Hybrid Location: Hybrid - 3 days/week onsiteat Palo Alto, CA or New York City, NYOpportunityKohler Ventures is an independent company wholly owned by Kohler Co., global leader in the manufacture of kitchen and bath products, tile and home interiors, and an international host to award-winning hospitality and world-class golf destinations.
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data job Title: data in Palo Alto, CA
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