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The laboratory focuses on using big data approaches to neuroimaging and genetics, using behavioral and non-invasive MRIs to examine brain-behavior relationships after stroke. Technical knowledge of neuroimaging and brain anatomy, experience with organizing, maintaining, and analyzing large brain imaging datasets, programming expertise with python, Bash and parallel computing, experience with Brain Imaging Data Standards (BIDS) and MRI—based neuroimaging software programs (e.g., FreeSurfer, ITKSna) and statistics/machine learning strongly preferred.
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Experience must include two (2) years of experience in data mining and development of ETL processes; distributed data architectures and big data processing technologies such as Spark, EMR, Hadoop and Hive; and Realtime Frameworks, collection, and processing Realtime data using kinesis Data Streams, KCL, KDA and Firehoses.
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Services (AWS), Microsoft Azure & Google Cloud Platform, Reporting tools such as Tableau, MS-Power BI & MicroStrategy, Big Data Technologies such as Python, Spark & Hive and other related products.
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High familiarity with data platforms and applications such as: Databricks, Jupyter, Snowflake, Redshift, Airflow. Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
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Manage data transitions and platform migrations between SAP HANA/DataBricks, Tableau/PowerBI, and related ETL processes. Proficient in data platforms/systems (such as SQL, Databricks), ETL tools (such as Python, SnapLogic), process automation, and standardization.
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Who You’ll Work With The Data and Systems Architect reports to the Director, Data & Systems and is supported by a team of technology professionals, along with external stakeholders, consultants, our data manager, and our business partner, Southern California Edison (SCE.
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You will be a part of a group of experienced Engineers who deliver consumer data assets, reporting to the Manager, Technology responsible for consumer identity and insights. Experience with real-time processing technologies like Apache Beam and FlinkPrevious success in crafting large scale data systems that perform complex event processing.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Practical experience in delivering projects in Data and Analytics, Instrumentation, Measurement, Data Collection, Big Data, Data Warehousing, Business Intelligence.
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Expert knowledge of at least one data science programming language (e.g. Python, R, Julia, etc.) and relevant data science and visualization libraries (scikit-learn, pandas, ggplot, etc.
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Experience with cloud data environments (GCP - Google Cloud Platform, Big Query, Snowflake, or AWS) Background with or understanding and/or hands-on experience with back-end cloud data (GCP, Big Query, Snowflake, etc.
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Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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LANES uses the Mirth technology, AWS cloud and Google Big Query and FHIR, to link healthcare organizations and to maintain the core technology infrastructure of the Health Information Organization.
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We are pushing the boundaries of deep techmachine learning, computer vision, big data, augmented and virtual reality. Second Spectrum is a Sports Emmy-winning data & tech company that is building the next way of seeing sports - by capturing and producing the highest quality data and innovative content for many of the world's largest leagues and media partners, such as the NFL, NBA, English Premier League, ESPN, Amazon, and CBS Sports.
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U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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big data jobs Title: project manager in Glendale, CA
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