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In joining our data and analytics team, you'll work with our clients to leverage SAP applications to transform their data management and governance and analytics processes by enhancing their core transaction processing and reporting competencies ultimately strengthening their ability to support management decision making and corporate strategy.
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Work within cloud environments such as AWS or Azure to leverage services including EC2, RDS, S3, Lambda, and Azure Data Lake for efficient data handling and processing. Your expertise in data modeling, ETL workflows, and cloud-based data processing will be critical in supporting our data-driven initiatives and ensuring the highest standards of data quality, security, and performance.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Predictive Preventative Maintenance (PPM) data in Computerized Maintenance Management System maintenance information systems (e.g. CMMS, SAP) Lead the migration of Client Inspections and Data from Capstone into APM GE, 4.4.
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The DLDCCC is further supported by a broad array of shared resources including the Population Sciences Biorepository that provides biospecimen collection, processing, and storage coupled with clinical and risk factor data collection for a variety of cancers as part of our growing molecular epidemiology program and computational biology and bioinformatics.
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Implement and monitor data quality checks to ensure reliable and accurate data processing. Design, build, and maintain efficient data pipelines using Spark, Python, and Databricks.
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Lead Data Governance Initiatives: Drive initiatives related to Master Data Management, Data Security, Data Quality, Data Retention, and Data Definitions and cataloging.
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The 4 years of experience must include experience with AngularJS; Typescript; Python; Plotly; Linux; Perl; Flask; API; SQL; Anova (Analysis of Variance); Regression and Correlation Analysis; Exponential Smoothing; Tableau; ETL; Data Visualization (Dash); Microservices; and Git. Must have a Master’s Degree, or foreign educational equivalent, in Computer Science, Management Information Systems, or other closely related IT field.
ExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Net, D365, PowerApps, PowerBI, Power Automate Full BI Stack (SSIS, SSAS, SSRS) Top requirements: ERP data conversion, implementation, interface designing, mapping and deployment Familiarity with SAP ERP including data conversion will be plus Hands-on experience delivering Dynamics portfolio including: D365 Finance, D365 Project Operations Attach, D365 Project Operations Sub, D365 Supply Chain Management, and D365 Team Members.
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The Process Engineer serves as the technical contact for process technology related to hydrogen liquefaction, gas processing, and acid gas removal throughout various project phases, including FEED, design, and post-startup.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. 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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Familiarity with cloud architecture (Azure, Entra ID), shared responsibility models, data loss prevention (DLP), and cloud security best practices (DevSecOps, Secure SDLC, etc. Expertise in security concepts like cryptography, identity and access management, logging and monitoring, network/endpoint vulnerability scanning and remediation, pen testing, and data discovery / protection.
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They will also work closely with their peer VP, Infrastructure and Operations partner to ensure effective data backups and restoration is consistent with best practices (inclusive of disaster recovery and business continuity.
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Data entry, data review, and GPS use. Working knowledge of sub-meter accuracy GPS technologies and map interpretation skills (e.g., NWI, USGS, aerial photography). Familiarity with Army Corps of Engineers Regional Supplements for the Arid West and Great Plains.
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. Cognite is a global industrial SaaS company that was established with one clear vision: to rapidly empower industrial companies with contextualized, trustworthy, and accessible data to help drive the full-scale digital transformation of asset-heavy industries around the world.
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