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Job Req ID: 24834 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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Possess an understanding of the mechanical, electrical, and fire life safety systems used in a data center environment including, but not limited to the following: electrical distribution and layout, Transformers, PLC’s, Generators, Switchgear, UPS systems, STS’, ATS’ PDU’s, Chilled Water Systems, CRAC/CRAH’s, Pre-Action Sprinkler Systems.
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The Senior Big Data Engineer will be responsible to employ various tools and techniques to construct frameworks that prepare information using SQL, Python, R, Java and C. The Senior Big Data Engineer will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field.
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Proven experience with cloud-based data platforms (e.g., AWS, Azure, GCP), big data technologies, and data warehousing solutions. Hands-on experience with modern data technologies (e.g., Apache Kafka, Apache Spark, Snowflake, Databricks.
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3+ Years of experience in coding in Big data environment, Cloud data platforms such as Cloudera Hadoop, AWS or Microsoft Azure 3 + Years of Experience in Scripting language such as Python/R and must have knowledge to schedule data scripts to automate data pipeline creation.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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2 hours to Big Sky ski resort and just over 2 hours to historic Yellowstone National Park! National Instruments Data Acquisition Hardware National Instruments LabVIEW Software. 2 hours to Big Sky ski resort and just over 2 hours to historic Yellowstone National Park.
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IAM roles and policies used internally, external cross account role access for data sharing (incoming/outgoing) Knowledge of internal and external cross-account role access for data sharing.
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Full stack, Software Development, Software Engineer, Full Stack Developer, API, Git, version control, SDLC, CI/CD, test-driven development, Gen AI, Generative AI, Artificial Intelligence, Large Language Models, Database, big data tools, AI frameworks, Google Vertex, Microsoft Open AI, AI/ML, huggingface, rag, agentgpt, llm agents, langchain, tokenization, embedding.
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Leverage big data technologies to efficiently process and analyze very large datasets, similar to those encountered in a federal agency. - Demonstrated experience working with very large datasets and leveraging big data technologies to process and analyze data efficiently.
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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Support Security and Audit Compliance initiatives related to the Microsoft Azure environment Experience with Big Data solutions and no SQL DBMSs INDHCLSMC #LI-PAS Where required by law, NTT DATA provides a reasonable range of compensation for specific roles.
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Data Analytics and Digital Transformation SupportProvide technical advice related to the integration of hydropower data into programmatic business practicesAssist in scoping efforts for future data aggregation and visualizationProvide market research related to generation utility digital transformationDemonstrate big data and artificial intelligence tools for hydropower operational dataAssist in pilot project demonstrations for incorporating and using large data set analysisTask 3.
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Other titles : HVAC Technician, Field Service Technician, Data Center Facilities Engineer, Facilities Technician, The successful candidate for this role will work with a team of other electrical and mechanical-focused engineers performing maintenance and repair for our data center infrastructure.
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5+ years in Data Engineering (BI/DWH/ETL) Development experience, at least 4-5 years with Talend and Big Data. 3 to 5 years of experience in Talend Data Integration and Big Data skills.
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big data jobs Title: data Company: Remoteworker Us in ME, Wyoming
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