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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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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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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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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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A highly motivated individual, the Senior Principal Scientist will focus on strategic development and implementation of novel data science and predictive analytics methodologies to support clinical drug development.
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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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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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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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We are building and deploying edge software and cloud services for real-time customer facing products as well as internal big data tools. Experience as a solutions engineer, application engineer, data scientist, senior data analyst or a similar technical role at a fast-growing technology company.
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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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Knowledge of Tableau data visualization software, GIS, or advanced statistical software (SPSS, R, STATA, etc.) Design data collection instruments (surveys, focus group protocols, interactive activities, etc.
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Proficiency with data platform architecture, design, data dictionaries, multi-dimensional models, objects, star and snowflake schemas as well as structures for data lakes, data science, and data warehousesExtensive experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP.
$181,000 - $241,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role sits in the Data Products & Platforms organization within DX and as a Sr Software Engineer, you will report into the Sr Manager who oversees data GRC practices. Comfortable handling, implementing, and using audit and compliance management tools (Alation, BigID, Immuta and Anomalo) in industry forward data warehouses (Snowflake, Databricks.
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MANAGER: Master Data Manager. The Temporary Master Data and Implementation Specialist role is responsible for the accuracy, integrity, and timeliness of master data in OLLY’s ERP system Microsoft Navision.
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Apply mathematical (geometry, linear algebra, numerical methods, error analysis) and machine learning methods to prototype and develop algorithms for converting raw depth sensor data into point clouds, 2D and 3D tracking like SLAM, 3D point cloud reconstruction, registration, and classification as well as texture projection and completion.
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big data jobs Title: senior manager in San Francisco, East-hartford, Connecticut
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