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We are seeking a hardworking, performance-savvy engineer to build out the big data platform and services, which power many of these customer features - existing and new. Apple Music is a huge part of Apple's business because it's a big part of people's lives.
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As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis.
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Experience in big data technologies like Spark/Hive, Kafka, Apache Parquet, Avro, GCS, GCP, BigQuery. Data engineering, database engineering, business intelligence, or business analytics, Master's degree in Computer Science or related field and 2 years' experience in software engineering or related field, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
$234,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with AWS, big data technologies (Spark, Redshift), and distributed computing. AI/MLOps: You possess deep expertise in deploying machine learning, data science, and algorithms with a proven track record of deploying production-ready models.
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Your qualifications You have production experience with building and operating a DataLake, Data Warehouse or Data LakeHousesYou have a taste for big data streaming, storage and processing using open source technologiesYou can demonstrate your understanding of what it means to treat data as a productYou know what are Data Mashes and Data Fabrics and what is critical to make sure for them to bring valueYou are able to learn and adapt.
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As a Big Data Architect, you will play a critical role in enhancing and scaling these pipelines and our data infrastructure. Strong experience with big data technologies (e.g., Hadoop, Spark), database systems (e.g., SQL, NoSQL), geospatial toolkits, and ETL tools.
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Apache Spark : Develop the de facto open source standard framework for big data. 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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Data warehousing experience (e.g. storage methods/formats, database design), e.g. Google Big Query, and experience with ETL (Extraction, Transform, Load) optimization. Proven familiarity with data mining, analysis, and visualization; experience manipulating and curating large, complex data from a variety of systems.
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Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, etc. As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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Tool Ownership: Act as the primary owner and expert of the Pigment FP&A tool, overseeing the structure and integrity of financial data within the system. The database market is undergoing a generational shift and is one of the largest market opportunities in enterprise software due to big trends like the need for digital transformation, acceleration to the cloud and innovation at the edge.
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As a Principal Big Data Engineer, you'll play a key role in our data platform team, focusing on architecture, design, and development. Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US. We are actively seeking Principal Big Data Engineer for one of our client, Please share your resume with current location & full contact info.
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You will have Cloud certifications and be able to develop target architectures on AWS, Azure, GCP, and Private Cloud for workloads such as SAP, Data warehouse, Big data platforms, etc.
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For positions in this location, we offer a base pay of $137,000 - $233,000, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure.
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Ability to work with data sets at all sizes – from a small summary sheet to big dataCapability for developing ETL processes for new data sources Working with geographic data in with multiple formats, including open source grids, census geographies, and point data (latitude/longitude.
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LinkedIn’s Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts.
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a big data jobs in Mountain View, CA
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