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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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Significant program development experience in some or all of the following: AI/ML, Security Operations, Governance Risk and Compliance, Data Security/Protection, Data Science, Software Engineering.
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Salary: Data Entry Work from Home - Part Time Computer Job Based on experience, this position pays up to $34.00 per hour. Job Description Part Time Data Entry Computer Job - Work from Home Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided We specialize in market research and are looking for help in some of our work at home computer positions.
$26 an hourPart-timeWork from homeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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BS degree in Linguistic, Data, or Business Operations/Management related fields (E.g. Linguistics, Applied Linguistics, Computational Linguistics, Data Engineering, Data Science, etc.
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Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse analytics implementation. Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks.
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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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Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data Experience with at least one major MPP (elastic map reduce) or cloud database technology (Snowflake, Redshift, Big Query) Experience with AWS Cloud technologies (S3 at a minimum) Solid experience with data integration toolsets (i.
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Data Center Construction Project Manager- Owner's Rep – Portland, OR. We are looking for a Data Center Construction Project Manager to support critical facility construction projects. Experience managing Data Center Construction Projects as an Owner or as a General Contractor.
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Works cooperatively with all other departments, including but not limited to: Laboratory Dispatch, Courier Dispatch, Couriers, Accessioning, Customer Service and Data Entry. Interacts with Phlebotomy Manager and Laboratory Director to ensure that these personnel are trained in such a way as to provide phlebotomy services satisfactorily and within local, state and federal regulations.
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Operating TEM tools to obtain TEM/STEM images, SAED, EDS and EELS data from samples. Creating summary reports to capture the project objectives, analysis data and interpretation of the results.
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Strong optic measurement and calibration skills, conforming to color space SDR and HDR standards with ability to provide supporting data reports. Prior exposure as a playback operator, editor, audio engineer or lighting technician.
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Minimum of seven (7) years’ experience in a corporate legal department, law firm, or government agency advising clients on data privacy issues, including product counseling, data governance oversight, litigation management, and contracting.
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Understanding of data analytics concepts and applications such as Data-lake, Tableau, SAP BW/BPC/SAC are strong plus. Utilize data and metrics to drive continuous improvement. Recognized as expert in SAP FI modules and non-SAP applications supporting GL, AR, AP, Tax, Indirect Procurement and Fixed Assets functions, Legal Consolidation and Workday payroll functions.
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Architect and drive the end-end Big Data deployment automation from vision to delivering the automation of Big Data foundational modules (Cloudera CDP), prerequisite components and Applications leveraging Ansible, Puppet, Terraform, Jenkins, Docker, Kubernetes to deliver end-end deployment automation across all ServiceNow environments.
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Proven expertise in data engineering concepts, database design, ETL processes and data mining. Proficiency in working with data technologies including SQL, Python, Spark, Scala, Hadoop and related technologies and tools.
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data entry jobs Title: data supervisor in San Jose, CA
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