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Familiarity with data technologies such as data visualizations, Natural Language Processing (NLP), Machine Learning, generative AI. Comfort with big data approaches, such as data lakes, desirable.
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Collaborate with a team of supportive and passionate software engineers, product, infrastructure and other internal partners to tackle challenging problems, execute on development projects that build, enhance and customize our high-performance data ingest, partitioning, graph and edge building systems.
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Supermicro is seeking a Product Manager who can lead the development and integration of server/workstation system products for cloud and data center infrastructure. Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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The Data Scientist will contribute to visualization, exploration, and development of new technology insights, product ideas, and game-changers that may hold the potential to add value to patients and Novo Nordisk in the future within therapeutic areas covered by Novo Nordisk corporate strategy.
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Job Req ID: 24400 About Supermicro: Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Strong expertise in design and development on cloud data warehouses like Snowflake, Redshift, BigQuery and Big-Data platforms like Spark, Dremio, Hadoop, Hive. DSI is a product strategy and engineering team that works closely with business development and sales finance.
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Proficiency in design and development of custom ETL pipelines using SQL and scripting languages (Python/ Shell/ Golang) and workflow management tools like Airflow. Apple is seeking an experienced, detail-minded data engineer to join our Worldwide Sales Team, Data Solutions & Initiatives (DSI.
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Hands-on experience with at least one cloud platform (AWS or Google Cloud) and at least one modern big data product such as Databricks, Snowflake, and BigQuery. Experience working with Python, SQL, and modern data products to build and test data-intensive applications.
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Any level of experience with Lead design and development of the Big Data Analytics Platform by gathering requirements from the various stakeholders and converting it to technical design and implementation using various Big Data technologies like Apache Spark, Mapreduce, Mongodb etc and programming languages like Java, Scala, Python and build and maintain search related product using technologies including Lucene and Elasticsearch.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. Fuse’s innovation culture and modern product development teams power the evolution of our commercial products and spark the creation of new businesses and products.
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Total Talent Solutions, Workforce Solutions, Contingent Workforce Solutions, Outsourcing & Consulting, Tech Consulting Services, Independent Contractor Services, Software Engineering Solutions, Technology Staffing & Solutions, Customized Training and Talent Development, Project-Based Services, Cloud Enablement and Migration, IT/Software Development, UX Design, Data Science, Product & Program Management, Data Science, Quality Engineering, Big Data Services, Automation, and Telecom.
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Exposure to Big Data environments such as AWS (Spark, RedShift, EC2, Tableau), Databricks, or Snowflake is a plus. This is a strategic role with an opportunity to learn and expand responsibilities as you partner with data science, engineering, and business development teams in the US and offshore.
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Expertise owning and scaling support operations with process development, escalation protocols, communication tools, and ticketing systems. At Tecton, we are on a mission to bring Machine Learning to every customer and product interaction on the planet.
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Data Product Manager , you’ll play a crucial role in guiding the development of our RDI products used by our clients and advisory team. Value Estimation : Estimate the value and revenue potential of product opportunities and formulate successful development, enablement, and launch strategies.
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Commercial grade database management system, data warehouses and/or big data such as SAP HANA, Oracle, MS SQL, Hadoop, or cloud computing platforms (Azure, Google, AWS, etc. Lead and manage the technical architecture, design, development, and supporting maintenance and migration(s) of Parkland's data and analytics solution stack, with a specific focus on optimizing Epic Cogito, Microsoft Azure cloud with PowerBI, and other data solution tools and Software as as Service (SaaS) platforms.
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