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Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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Design and develop full stack mobile applications focused on health data collection, patient engagement, and digital therapeutics, using Flutter, Google Cloud Compute, Firestore, Amazon Web Services, and Python (including Flask.
$85,600 - $107,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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5 years of experience with data science and analytics technologies such as Python, SQL, Tableau, Alteryx, AWS Redshift and Lambda, and/or Google Cloud Platform. Define and evangelize the strategy, roadmap, and execution plan to deliver new data science and analytics capabilities to enable Thermo King’s customers and achieve our company purpose while enabling rapid growth.
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Proficiency in at-least one of the following programming languages - Python, Scala or Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Familiarity with cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Azure SQL Data Warehouse) and related services. Cloud Services: Experience with cloud computing platforms like AWS, Azure, or Google Cloud, and familiarity with their data services.
$190,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
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Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers.
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CrowdStrike’s Data Science team is expanding. we are at the exciting intersection of Machine Learning, Artificial Intelligence, and Security and are looking to add a Data Science Manager specializing in machine learning to our growing team.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus. Implementation experience of Big Data technologies like Hadoop, Spark, Presto, Hive, and Hue will be a major advantage.
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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.
$75,600 - $172,000 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master's degree in Computer Science or related field and 3 years' experience in software engineering.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will use cutting edge data engineering techniques to create critical datasets and dig into our mammoth scale of data to help unleash the power of data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on.
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Experience in cloud environments with a blend of data science skills (remote sensing, physics, geospatial, imagery process, etc) and computer science understanding is a plus for this position.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc.
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big data science google cloud jobs Company: Booz Allen Hamilton
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