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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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Role: Big Data Engineer (Databricks Administrator ) Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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Implement and configure big data technologies as well as tune processes for performance at scale. - Responsible for data engineering functions including, but not limited to data extract, transformation, loading, integration in support of modern cloud computing platforms like Azure and Databricks.
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Collaborate with other linguists and data operations teams in data collection, data curation, translation, localization and annotation efforts. We are seeking candidates with native or near-native fluency in French, Spanish and/or Italian with strong linguistic data analysis and language technology experience to manage data collection, data synthesis and data annotation tasks, translation-localization and ML model improvements.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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Our client is currently seeking an experienced Big Data Engineer for their Midtown office in Atlanta, GA. The successful candidate must have substantial Big Data engineering experience and demonstrate an affinity for working with others to create successful solutions.
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The Legal Operations Lead Insights Analyst role is a full-time, professional track role whose primary responsibility is to identify, generate and communicate insights for the Legal Department through the blending, transformation, and critical evaluation of data through descriptive, diagnostic and limited predictive methods relying on Chick-fil-A's established analytics tooling stack.
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Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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Our client is currently seeking an experienced Data Engineer - Big Data individual for their Midtown office in Atlanta, GA. The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to create successful solutions.
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Hands-on experience configuring and implementing an enterprise integration architecture solution using OIC adapters (SOAP, REST, FTP, and other pre-built adapters) based on NFCU's data mapping requirement.
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Design, develop, implement, and support advanced analytics solutions using Microsoft Power BI and Microsoft SQL Server platform, enabling data-driven insights and reporting capabilities. Highly Proficient in Microsoft Power BI for designing and developing data sets, interactive dashboards, and visualizations.
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Event Planning | Virtual Events | B2B Marketing | Lead Generation | Marketing Automation | SaaS | Hybrid Events | Demand Generation | Funnel Optimization | Data-Driven. Data-driven approach with a focus on funnel optimization and sales/marketing process enhancement.
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Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred. The Data and Analytics Director is accountable for the strategic governance and management of the North America Data and Analytics team.
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This role will report to the Global Data & Analytics Director to maintain full alignment with the different Center of Excellence Data teams. Very Good understanding in Data Foundation initiatives, like Data Modeling, Data Quality Management, Data Governance, Data Maturity Assessments and Data Strategy in support of the key business stakeholders.
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Contribute to artificial intelligence/machine learning (AI/ML) and data modeling projects. Experience with/in any of the following is preferred: Applied ML or other data science projects (e.g., Feature Engineering, Predictive Analytics, ML Pipelines); Business Intelligence (BI Tools) including Tableau, Spotfire, Qlikview, and/or Power BI; Cloud based systems on Azure or AWS.
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big data artificial jobs Title: strategist in Atlanta, GA
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