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Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (Google Cloud Platform preferred, AWS, Azure etc.) Big Data Engineer.
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Experience with multiple big data solutions such as DynamoDB, MongoDB, BigQuery, Databricks, SnowFlake, etc. Develop and lead the technical vision for creating complex data products at scale.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Design and Build Big Data platforms using Hortonworks, Cloudera CDH, Apache Hadoop as a Data Storage and processing systems using Apache Spark and Presto Analytics Engine. Build high throughput data pipelines using Apache Kafka that enable sophisticated Catalog Azure/GCP Data Lake and ensure that all data transmission is secured and protected.
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Google Cloud Platform Big Data Engineer - CA - Onsite. Title:- Google Cloud Platform Big Data Engineer. 4 + years of experience in Google Cloud Platform,GCS Data proc, BIG Query.
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Big Data Technologies: Expertise in big data technologies like Hadoop, Apache Spark, Apache Hive, or similar frameworks is crucial for efficiently processing and analyzing massive volumes of data.
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Enterprise data services, enterprise data integration, data virtualization, web integration, web automation, unstructured data, virtual database, real-time data, cloud integration, big data integration, Data Warehouse, Agile BI, Logical Data Warehouse, data governance, self-service BI, data analytics, machine learning, artificial intelligence, Data Integration, Data Fabric, Data Governance, data mesh, and data management.
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Total Talent Solutions, Workforce Solutions, Contingent Workforce Solutions, Outsourcing & Consulting, Tech Consulting Services, Independent Contractor Services, Software Engineering Solutions, Technology Staffing & Solutions, Customized Training and Talent Development, Project-Based Services, Cloud Enablement and Migration, IT/Software Development, UX Design, Data Science, Product & Program Management, Data Science, Quality Engineering, Big Data Services, Automation, and Telecom.
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Proven track record of developing and deploying algorithms for a production-ready recommendation, data mining or prediction systems using languages and big data platforms such as Scala, Python, Java, Spark, Presto, and Hive.
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By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles.
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Experience developing Big Data applications using java, Spark, Kafka is a huge plus! If so, Apple's Global Business Intelligence (GBI) team is seeking an experienced Software Engineer to build high quality, scalable and resilient distributed systems that power Apple's analytics platforms and data pipelines.
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The Principal Data Scientist / Applied Machine Learning Scientist – Computational Advertising is a critical data science/applied machine learning role that uses cutting-edge machine learning, deep learning, big data mining and optimization techniques to solve the challenging problems from ads relevance, ranking to campaign optimization.
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Hands-on experience with big data application development and/or with cloud data warehousing (e.g. Databricks preferred). Own the end to end architecture of the Auris Data Platform which ingests data from the Monarch system and transforms it into insights for internal and external users using a scalable big data pipeline on AWS.
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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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The Sr. Clinical Data Manager will be responsible to support all aspects of data management from study start-up to database lock including EDC design, data review/cleaning, query management, data reconciliation, and data transfer specifications.
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big data jobs Title: technology lead in Palo Alto, CA
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