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Big Data Expertise : 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more.
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3+ years of experience as a hands-on Data Engineer/Architect including ETL jobs, data pipelines, and Big Data analytics. As a Gaussian Software Engineer - Data, you will be responsible for leading the architecture, design, and development of the data systems within our AI products for the semiconductor industry.
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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. Proficiency in major big data frameworks, such as Akka, Spark, Flink, Hadoop/Hive and others.
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We're looking for a Senior Software Engineer passionate about tackling big data challenges in the next-generation data clouds. Our team consists of domain experts in big data who have solved similar problems for companies such as Google, Vertica, Uber, Stripe, Facebook, Pure Storage, DBT, and Snowflake, and other thought leaders in the industry.
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Data mapping; Data custodians; Computer forensics; Archives; Assisted reviews; Attachment backups; Batch processing; Big data; Boolean searches; Chain of custody; Coding to find identifiers; Data extraction; Hash; Hosting; Legacy data; Load files; Normalization; Processing.
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As a Principal Data Engineer, you will work to define the data ontology for all of Roblox, establish standard methodologies for data operations and lifecycle management, design and build analytics tooling and frameworks, and influence event instrumentation.
$283,780 - $331,640 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Mentor fellow engineers and scientists, promoting best practices in software and data engineering. Integrate automated testing and release processes to improve the quality and velocity of software and data deliveries.
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This could include Salesforce, Marketo, Intercom, NetSuite, Recurly, and backend entitlement data. 8+ years of professional experience, including data engineering, analytics, business intelligence, data science or comparable fields.
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Big-data biology requires innovations in data analysis and visualization to catalyze interpretation and discovery. This is a great opportunity for candidates with a passion for both the quantitative analysis of big datasets and the development of compelling data visualization platforms.
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The Department of Psychiatry and Behavioral Sciences within Stanford University is seeking a Precision Psychiatry and Neuroimaging Data Analyst (Research Data Analyst 1) with a focus in mental health to manage and analyze large amounts of functional neuroimaging, behavioral and symptom data for classification and prediction of outcomes in depression, under the direction of Dr. Leanne Williams in the Personalized and Translational Neuroscience Lab, PanLab.
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Working with our CSO to build powerful biomarker discovery tools and selecting high performance biomarker sets leveraging Curve’s Whole Body Tissue Atlas (WBTA) of DNA methylation data from >250,000 samples from >100 tissue and disease states.
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Glean is building a world-class Data Organization composed of data science, applied science, data engineering and business intelligence groups. You are proficient in SQL and the modern data stack (e.g. dbt pipelines for ETL/ELT.
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AI/ML Platform Operations experience in an environment with challenging data and systems platform challenges - including large scale Kafka and Spark deployments (or their coralaries such as Pulsar, Flink, and/or Ray) as well as Workflow scheduling tools such as Apache Airflow, Dagster, or Apache Beam.
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Visualize these data, process neuroimaging data and implement machine learning algorithms and models to these neuroimaging and metadata, including predictive models, latent variable, clustering algorithms and canonical correlation analyses.
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In this role, you’ll be helping us to drive our PLG motion forward, surfacing insights from a wealk of our customer data, partnering directly with our growth teams on Marketing & R&D to build out our experimentation capabilities, and owning our data stack (Looker, DBT, Fivetran, Snowflake, Census.
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big data jobs Title: big data software Company: Perficient in Redwood City, CA
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