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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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Job Schedulers – Airflow, Oozie or other ETL Scheduler Data Analytics – AWS Cloud Native Services Big data architecture – Python, Scala, Hadoop Bigdata, Hive, Pyspark etc. Lead development of digital architecture blueprint, technical roadmaps, technology frameworks for software, data, integrations and infrastructure solutions Lead proposals for Digital Transformation and Cloud Computing and High-Performance Computing RFPs Provide thought leadership on Digital architecture roadmap to Business and IT leaders and enterprise architecture teams.
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Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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The ideal candidate will possess a strong background in big data architecture, cloud computing, and a deep understanding of the financial services industry. Stay abreast of emerging trends, technologies, and industry developments in big data, cloud computing, and financial services, and assess their potential impact on the organization.
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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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Big Data Technologies : Experience with big data technologies and tools such as Apache Spark, Hadoop, Apache Cassandra, and distributed computing frameworks for handling large-scale datasets.
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Minimum 10 years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM) technology.
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The Sr. Product Manager is responsible for the Supermicro compact Edge computing products, This role will focus on designing and delivering the Supermicro compact Edge Compute Products, as well as act as the project manager and technical interface between the marketing, research and development engineers, the sales team as well as customers.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. As a big data engineer at Booz Allen, you ll implement data engineering activities on some of the most mission-driven projects in the industry.
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Energy Sciences, Biosciences, Physical Sciences, Computing Sciences, Nanotechnology, Supercomputing, Big Data, Energy Innovation, Science, Climate Change, exascale, computing, environmental science, materials science, Artificial Intelligence, AI, Machine Learning, Climate, Supercomputing, and Basic Science.
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Job Segment: Cloud, Data Center, Electrical Engineering, Engineer, Electrical, Technology, Engineering. Familiar with HPC/cluster/server workload, benchmark for computing, generative/inference AI, finance, government, enterprise, CFD, Nvidia solutions, etc.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
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Deep understanding of distributed computing principles, data management concepts, and big data ecosystem components (e.g., Hadoop, Spark, Kafka, Apache Delta Lake ). Hands-on experience with cloud platforms ( e.g., AWS, Azure, GCP ) and containerization technologies ( e.g., Docker, Kubernetes ), code management tools and frameworks ( e.g., Ci/CD, Git ) for understanding and managing big data solutions.
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Experience with cloud computing platforms and data warehouse solutions such as AWS, Azure, Snowflake, and Microsoft SQL Server. Experience working with data visualization tools such as Tableau, Looker, or PowerBI.
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Cloud One is an existing global, interconnected, virtualized, hybrid, and IT infrastructure hosting mission systems, applications, services, and data serves the U.S. Air Force (USAF) and other Government Customers.
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big data cloud computing jobs Title: data scientist Company: All It Solutions in Phenix-city, Alabama
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