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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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Hands-on experience and proficiency in Data Governance tools like Informatica IDMC, Collibra, and Alation across all DG capabilities, aka, Data Catalog, Metadata Management, Glossary, Lineage, Data classification / Access / Security, Data Marketplace.
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Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift. Migrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift.
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Experience in data collection from systems like ServiceNow, Splunk, or other data lakes, along with the ability to extract and normalize data for the establishment of routine feeds for IAM processes.
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Data Conversion and Integration Experience: Demonstrated experience with Oracle HCM Cloud data conversions and integration tools, including Oracle Integration Cloud (OIC), BI Publisher, HCM Extracts, HDL (HCM Data Loader), UCM, and managed file transfer (MFT) tools.
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Data Loader Management: Prepare and manage HDL (HCM Data Loader) for data conversions, ensuring accuracy and efficiency in data migration to Oracle HCM Cloud. This includes driving HR technology implementations through technical process designs, solution architecture, data conversion, integrations, report development, process playback, user acceptance testing, cutover, and production launch.
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Big data Azure AWS Hadoop CIA Confidentiality Integrity Availability SLA Service Level Agreement Jira Confluence Release Manager PIISPII Secret Personal Identifiable Info ITMS Info Tech Mgmt Sys PDLC Java Requirements Traceability Matrix RTM Azure DevOps IT Infrastructure Projects Communicate upgrades maintenance etc to prevent outages.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
$178,400 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Support data governance initiatives by ensuring data quality, metadata management, and data cataloging within the data marketplace. Strong understanding of data management, data governance, and data integration concepts.
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Utilize traffic engineering software and tools (e.g., Synchro, VISSIM) to support data analysis and reporting tasks. Analyze traffic data, including traffic counts, flow patterns, and collision data, to support the development of traffic reports and recommendations.
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The LDAR Technician is responsible for using an analyzer & electronic data recorder, is responsible for accurately monitoring components on an assigned route with an industrial facility. HPC-Industrial, powered by Clean Harbors, in Linden, NJ is looking for an LDAR Technician to join their safety conscious team at the Phillips 66 Site.
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Audible Content Data Science team partners with business, technology, and product leaders to solve problems related to Content Understanding, Content Evaluation, and Recommendations, relying on Natural Language Processing (NLP), ML, Deep Learning, LLMs/GenAI. We operate in an agile environment in which we own the life cycle of research, design, model development and, often, deployment.
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Experience with data integration, ETL processes, and real-time data streaming. Knowledge of data governance and data privacy regulations. Experience with other Informatica tools and platforms (e.g., Informatica PowerCenter, Informatica Cloud Data Integration) is a plus.
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The Department of Data Science (DS) at New Jersey Institute of Technology (NJIT) seeks candidates to fill Adjunct Professor positions. Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
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Maintain an up-to-date reference of data sources for various work streams and digital and analog tools, including SAP, D365, SMS, PdM (Azima, ThermoStudios), SharePoints, and other relevant sources.
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data job Title: hadoop in Cranford, NJ
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