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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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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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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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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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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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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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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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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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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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The administrator works closely with data stewards, data engineers, and business users to support data governance and data management initiatives. Minimum of 3-5 years of experience in data management, data governance, or data administration roles.
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The Planning Analyst will be responsible for supporting the Unit with a wide range of duties primarily related to grants management and funding innovative projects and initiatives, including but not limited to: policy and legislative research, grant research and writing, proposal development, data analysis and program evaluation, progress reporting on funded projects, budgeting, and overall management of grant-funded and other projects.
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E.g.: Cisco CCIE Enterprise, Data Center, Security, etc., Palo Alto PCNSE, Fortinet FCX, FCP. As a Principal Architect, you will be responsible for leading and mentoring a team of engineers who together with you will plan, design and implement network infrastructure, data center and next generation security IT solutions for our clients.
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Datamtx.com / formerly Datamatics) established in 1993 and globally HQ'd in Atlanta has a stellar history supporting both Tier 1 and 2 ERP rollouts ranging from implementations, data cleanse, migrations, customization, hypercare and Day 1 support.
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Technical Skills: Proficiency in data analysis tools (e.g., SQL, Excel, MS Query), data visualization software (e.g., Crystal Reports, Tableau, Power BI), and statistical analysis. Experience: 2+ years of experience in data analysis, preferably within a logistics or business context; it can be partially substituted with relevant Logistics experience related to manufacturing, retail, inventory, and wholesale.
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data job Title: hadoop Company: At T in Cranford, NJ
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