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The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
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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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Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture. For example, reconciliation using Big Data technologies, growing and optimizing customer payments options, tax calculations in milli-second r esponse times and a mesh of supplier payment options like virtual credit cards.
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Knowledge and experience in leading IT projects in a variety of different technology spheres including Data Center Operations, Cloud Computing, End User Compute / VDI, Application Development / DevOps, Data Analytics, SecOps/InfoSec, ESM, monitoring, Enterprise Service Desk, Networking / SDWAN, virtualization, containerizationEducation/CertificationsBachelor’s Degree (required)Bachelor’s degree in Computer Science; Master’s in Business Administrator (preferred.
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You will be in a customer-facing role that requires deep hands-on expertise in Apache Spark™ and data engineering, along with a variety of knowledge of the big data ecosystem. You will be part of the Professional Services team and work with clients on short to medium term customer engagements solving their big data problems using Apache Spark and the Databricks platform.
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OUR STRATEGIC PRIORITIES Customer Focus Operational Excellence High-Performance Culture Innovation Financial StrengthOUR BEHAVIORS Own It Act With Urgency Foster a Customer-First Mindset Think Big and Execute Lead by Example Drive Continuous Improvement Learn and Seek Out Development At Vertiv, we offer the stability of a global leader in a growing industry and the opportunity of a startup.
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A Specialist Senior at Deloitte works within an engagement team and is responsible for prototyping, process design (including scenario design, flow mapping), testing, training, development in APEX, DevOps. integrations, data migration, deployments, Visualforce, and lightning Aura. You have the opportunity to problem solve and troubleshoot with clients and lead multiple tasks.
$131,175 - $218,625 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Big Data & Analytics Acumen: A robust grasp of Big Data and Analytics, including the ability to navigate and address the challenges unique to these fields. Familiarity with Google Cloud Technologies: A solid understanding of Google Cloud solutions, including DataProc, BigQuery, Cloud Run, and Astronomer, is required.
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Experience with big data technologies such as: Hadoop, Hive, Spark, EMR. Experience with data manipulation and visualization tools such as Tableau, Power BI, etc. As an Amazon Senior Data Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable.
$123,700 - $240,500 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, Big Query. Tech stack-Big Query, any ETL tool (Informatica, Talend, DataStage), Dataflow, Dataproc.
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Experience on big data technologies and tools (e.g., Hadoop, Spark). Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields or equivalent (minimum 12 years) work experience.
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We're creating seamlessly integrated, elegant, and intuitive solutions built with cutting edge technology and powered by Big Data, Machine Learning (ML)/ AI and Internet of Things (Connected vehicle to connected devices.
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Conceptual knowledge of big data, machine learning, or data science. Proactively identify and communicate business opportunities and recommendations using data manipulation, programming, statistics and data visualization.
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This Product Manager will have a heavy focus on big data, and the ideal candidate will offer hands-on experience utilizing tools like Snowflake, SQL, and SPSS. Experience pulling, querying, analyzing, and communicating findings in big data.
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big data jobs in Detroit, Fernley, Nevada
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