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10-15 years of experience in sales and client-facing roles, preferably in Analytics/Software services like Data engineering and Business Intelligence platforms/SaaS products. Proven track record of selling Analytics and Big Data solutions to US Fortune 500 companies.
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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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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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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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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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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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Extensive knowledge of traditional security controls and technologies, such as Security Information and Event Management (SIEM) systems, intrusion detection/prevention systems (IDS/IPS), public key infrastructure (PKI), identity and access management (IDAM) systems, antivirus and firewalls, in addition to newer offerings such as endpoint detection and response (EDR), threat intelligence platforms, security automation and orchestration, deception technologies and application controls.
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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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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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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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Title : Big Data Engineer. The position will work closely with the Team Lead, other Databricks Administrators, System Administrators, and Data Engineers/Scientists/Architects/Modelers/Analysts.
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5+ years experience in one or multiple Big Data or cloud environments (e.g. AWS, Google AI/ML Platform., Snowflake, Databricks) The Expert Data Scientist will be a champion of the latest Machine Learning and Artificial Intelligence technology stack.
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The role sits within the Group Claims function and reports to the Group Claims Data and Insights Manager, the data scientist will be part of a global agile scrum delivery team and will be expected to work with the team to meet the sprint goals, which drive towards the data platform product vision.
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big data intelligence jobs Title: strategist in Atlanta, GA
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