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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Heading up special projects for the company, you will have a unique opportunity to view and understand a company’s day-to-day challenges and priorities from the vantage point of a CEO. You will be exposed to every function at Jerry (product, operations, finance, engineering, data, marketing, etc) and learn how to execute big-picture strategies and navigate the intricacies of a complex business.
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Bonus if those were open-sourced big data processing frameworks using technologies like Spark, Airflow, Kafka, Flink, Iceberg, Deltalake. Prior technical experience in Big Data solutions - you've built meaningful pieces of data infrastructure.
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Clients in this practice group represent a diverse range of industries, including artificial intelligence and machine learning, autonomous vehicles, aviation, big data, cleantech and climate solutions, data storage, digital health and wellness, digital media and entertainment, electronic gaming, fintech, life sciences, robotics, semiconductors, software, and SaaS, and web3, among other emerging and disruptive technologies.
$350,000 - $450,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Significant experience in bioinformatics, applied mathematics and/or statistics to analyze multi-modal, multi-dimensional and large-scale biological datasets including whole exome sequencing, RNseq, and high-throughput proteomics data.
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Abbvie is seeking a highly motivated and experienced translational scientist to lead a team of senior scientists accountable for driving the development, planning, and execution of the clinical translational research and precision medicine strategy across the rheumatology drug pipeline at Abbvie.
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The candidate will work in an oligonucleotide therapeutic drug discovery research lab and interface across different therapeutic areas, including neuroscience, immunology and oncology, to help build a comprehensive therapeutic discovery strategy.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Dbt and AWS 'big data' technologies.
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Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomic Sequencing, Mass Spectrometry/Proteomics), and Research Group Leaders.
$150,000 - $205,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Each product team you will work with has unique data challenges, all revolving massive datasets, so you should be adaptable, curious, and have a solid foundation in big data and engineering fundamentals.
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Own the end-to-end event management process, including venue selection, vendor management, event logistics, promotional strategy, follow-up strategy, and reporting. Partner closely with sales leaders to develop pre-event outreach and post-event follow-up strategy and materials.
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We are building and deploying edge software and cloud services for real-time customer facing products as well as internal big data tools. Prior experience with modern data technologies stack such as Databricks, Airflow, etc.
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Data and Document Management: Support program staff by entering participant data into JVS’s database, including enrollments, closures, training completions, educational attainments, and follow-ups.
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Experience in designing and developing custom connectors and adapters for data exchange between Proficy Historian and OSI PI. Strong understanding of data integration methodologies, especially with OSI PI.
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big data strategy jobs Company: Zillow in San Francisco, CA
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