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4+ years of experience in big data and event streaming technologies: Spark, Kafka, etc. 2+ years of experience in cloud technologies: Azure (big plus), AWS, OpenStack, etc. Minimum of 4+ years of experience with databases and data modeling / design (SQL and NoSQL.
$172,355 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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. Solid theoretical background in machine learning or data mining and strong conceptual, problem-solving, and analytical skills.
$230,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Building and optimizing 'big data' data pipelines, architectures and data sets using AWS cloud services and SnowFlake. Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores using Hadoop, Spark, Kafka, etc.
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Leverage machine learning, information retrieval and big data processing technologies to empower ranking, recommendation, and content experiences. Create comprehensive data management systems for scalable data collection, labeling, processing, and evaluation.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Strong working experience with Big Data technologies (Spark, Data Bricks) for Data integration, & processing (ingestion, transformation, curation, etc), preferably on Azure cloud, and a clear understanding of how the resources work and integrate with cloud and on-prem.
$155,000 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is a plus. Your expertise in Airflow, DBT, and Databricks will be essential in optimizing our data workflows and enabling advanced analytics and insights.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Experience building reports and data visualization with any BI tools like Tableau, Looker, Power BI, etc. You must have practical experience working with large data sets preferably in website lead generation & search engine marketing, SaaS, or cloud computing domains.
$145,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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The postdoctoral fellow will be using Big Data methods to analyze large-scale questions in the ABCD Study geared at understanding how social determinants of health may influence neurocognitive development of obesity risk.
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7 years experience in statistical languages and tools (R, Python, SQL, Big Query) Master's Degree in Computer Science, Information Technology, Data Analytics or Statistics, Mathematics, Applied Mathematics, and Data Science Or equivalent educ/experience.
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Field sales experience within big data, Cloud, and SaaS sales. Understanding of Apache SparkTM and big data preferable. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow.
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We use cutting-edge technologies like AI, machine learning, cloud computing, and big data analytics to protect investors and ensure market integrity. Drive alignment and implementation of an enterprise-wide Data Governance operating model, ensuring a clear understanding of data ownership and stewardship with well-defined processes and roles.
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Graduate SME - Business Analytics (Text Analytics, NLP, Big Data, Cloud, & Visualization), Digital and Social Media Marketing, Marketing, Economics, Technology Management, Project Management, Healthcare Management.
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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 working in “big data” environments (like Snowflake, Hadoop). Fluency capturing and translating data and insights via visualization tools (e.g., Tableau, Looker, MicroStrategy.
$93,800 a yearFull-timeExpandApply NowActive JobUpdated Today
big data jobs in Los Angeles, Chagrin-falls, Ohio
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