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Experience leveraging big data technologies (Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker) to blend data from multiple sources to help answer multi-dimensional business questions.
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As a Senior Software Engineer, you will: Design and implement big data, distributed, blockchain, and machine learning systems using modern tech stacks in Golang and Python. Experience with real-time and batch big data sets and platforms, ideally 10-100+ TB.
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Strong appreciation for Telecoms technology and architecture evolution in regards to GSM Core Network, LTE , 5G, Charging/Billing, provisioning, cloud and big data etc. Strong Data Analytical skills.
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Databricks is a software platform that helps its customers unify their analytics across the business, data science, and data engineering. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.
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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, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis.
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This role will coordinate with our hardware team to improve data collection from our novel spectral soil probe for building machine learning models, will partner with our soil science team to collect and analyze soil and geospatial data sets, and will collaborate with our business development team to accurately and effectively communicate soil carbon results to our customers.
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Comfortable with the big data ecosystem and Apache Spark. Familiarity with big data processing and cloud computing will be critical to succeed in this environment. In addition to possessing a mathematical aptitude, they need to be competent with data science languages and tools, such as Python or Apache Spark which will enable them to design scalable solutions for our advertising products, implement proof-of-concept, and evaluate them offline and online.
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Experience with modern SoC design architectures, ARM/MiPs type processor cores, Ethernet, Networking, and Data Communications. Bachelor / Master or PhD degree in Electrical Engineering coupled with proven experience in ASIC/FPGA development with Verilog.
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Skiers will delight in being closely distanced to world-class resorts at Mammoth Mountain, Mountain High, and Big Bear. Beachgoers can find plenty of sand, sun, and sunsets at both Southern and Central California beaches like Ventura, Huntington, Santa Monica, and Pismo.
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First-hand experience with reservoir monitoring and application of physics-based data analysis tools to seismic data, well logs and petrophysical laboratory experiments. Development of physics-informed ML models for seismic data interpretation and upscaling of petrophysical measurements.
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The Safety Statistics Group (SSG) at AbbVie is an important strategic part of Data and Statistical Sciences (DSS). Safety Statisticians work on products in the AbbVie portfolio ranging from early to later stages of development and life cycle management, with a focus on evaluation, interpretation, and reporting of aggregate/integrated safety data, including benefit risk planning and assessment.
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We are a multi-cultural and decentralized team with a deep passion for bitcoin, crypto and Defi. We are objective oriented and everyone contributes to data analysis to drive business growth. Product managers collaborate across business units and align user research, design and UX writing, brand and marketing, technical project management and engineering, testing, data, compliance and legal teams.
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You’re proficient in data visualization using Excel or other similar tools (Experience with SQL and Tableau a plus) Team player who is willing to get your hands dirty and help out where needed to get the job done - no job is too big or too small for you.
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Experience with topics related to big data engineering such as data streaming, pipeline optimization, deployment, and data security. As a Sr. Technical Curriculum Developer at Databricks, you will apply your expertise in data engineering and curriculum development to lead the design, development, and maintenance of the data engineering curriculum.
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Strong analytical skills: you nerd out about data, can quickly structure analyses to answer key business questions to drive decision-making, and will also have perspectives on building the right data architecture.
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big data jobs Title: senior developer Company: Cognizant in California, MO
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