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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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Knowledge of Artificial Intelligence, Data Science, Big Data, Business Intelligence, Data Integration, Blockchain, and Distributed Ledger Technologies. Bachelor's degree in a technical discipline, ideally including data science and machine learning.
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1+ Years experience with big data technologies such as Spark, Hadoop, BigQuery, or Redshift. We're looking for a Data Engineer with strong back-end and cloud engineering skills.
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BS, MS, or PhD degree in Computer Science, Data Science, Economics, Statistics, Mathematics, Physics, Computational Biology or equivalent experience. You have a strong background in data science, machine learning, graph mining, and graphical modeling algorithms.
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As we continue to expand, we are seeking an experienced Principal Data Engineer with expertise in data engineering and AI/ML. In this key role, you will take ownership of driving innovation and leading the technology strategy for modern data platforms across data warehouse, tooling, integrations, and AI/ML. You will collaborate with cross-functional leaders to deliver impactful data solutions that directly influence our business outcomes.
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We're looking for a Staff Software Engineer to help build our query engine and tackle big challenges in a fast-growing data company. Our design and architecture draw inspiration from many state-of-the-art systems in the big data space, and we learned best practices from Druid, Scuba, Dremel, and other open-source projects (Apache Arrow, Apache IceBerg, etc.
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The Data Scientist will formulate Glo's data strategy and work with the Data Engineer to implement the appropriate architecture and execute on the strategy. Experience with data visualization tools such as Tableau, MixPanel, Google Looker.
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Hands-on experience in designing and building highly scalable and reliable data pipelines using Big Data stack (e.g., Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift, etc.
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Familiar with metadata management, data lineage, and principles of data governance. Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment.
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Basic knowledge of 3D visualization, data visualization, illustration, UI/UX design, web design, and/or coding. Transform complex transportation analysis into intuitive visuals for a broad range of applications, including data visualization, maps, final reports, presentations, and community engagement.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Extensive outside Sales experience in a technical sales environment, ideally from the integrated security, networking/data cabling and/or commercial audio-visual industries. Own the creation of your annual sales plan and develop your strategic approach for your market to increase sales in all company service offerings including integrated security, networking/data cabling, and/or commercial audio-visual.
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Paladin has offices coast to coast across the United States and Canada, and nearly 1,600 talented and committed professionals dedicated to custom-crafting and installing technology solutions for clients requiring Integrated Security, Network Infrastructure, Audio Visual, Fiber Optics/OSP, Structured Cabling, and more.
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The Computational Genetics team is seeking a full-time Computational Biologist who will guide strategic initiatives and directly contribute to identifying and extracting biological insights from high dimensional multi-omics data.
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big data jobs Title: engineer Company: Agoda in San Francisco, CA, Us
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