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You will be a Sr. Data Engineer in a horizontal Dev Engineering team that includes onshore and offshore developers using best-in-class Google Cloud relational Data warehouse technologies, including Informatica Big Query, IICS, Talend, Python etc.
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The Company’s end markets benefit from meaningful secular demand tailwinds, and include factory automation, food & beverage, aerospace, medical, data center, warehouse, alternative energy, residential and commercial buildings, general industrial, construction, metals and mining, and agriculture.
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Demonstrated experience related to AML, Know-Your-Customer (KYC), Transaction Monitoring, and Sanctions data, technology, and deep analytics experience. Data analytics project experience related to one or more of the following: transaction monitoring data analysis and system implementation, development of customer risk rating models, customer segmentation, threshold tuning, customer/account/transaction data modelling, management and quality assessment, model validation, and/or Know-Your-Customer data remediation.
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Knowledge of at least one data management platform such as Azure Data Factory, Azure Databricks, Microsoft Fabric / Power BI. SSIS / Informatica or similar also considered. Create data accuracy monitoring and reporting solutions leveraging Azure/Microsoft Power BI/SQL/Other tools.
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Understanding of the functionality of finance systems, such as General Ledgers, Sub-Ledgers, Hyperion, Finance Data Warehouse/Repositories, and other related applications; Experience utilizing, designing and leading data programs with one or more of the following products: Oracle OFSAA, Oracle ADW, Oracle FAW, OAC, Power BI, Power Query, Amazon AWS (Redshift and Related Toolsets) and/or Microsoft Azure.
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Knowledge of data warehouse architectures (e.g., Kimball, Inmon) and experience with data warehousing technologies like Snowflake, Redshift, or BigQuery. Develop and optimize data warehouse and data lake architectures to ensure efficient storage, retrieval, and analysis of large datasets.
$175,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Oncology Data Specialist credential (formerly known as CTR- Certified Tumor Registrar) required. Must have an Oncology Data Specialist credential (Certified Tumor Registrar). The Oncology Data Specialist II is responsible for abstracting and timely submission of cancer tumor registry datafor multiple UH hospitals.
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Utilizing extensive knowledge of resident data in university enterprise systems, such as PeopleSoft Financials, PeopleSoft HCM, PeopleSoft SIS, FM Systems, Asset Essentials (CMMS - computerized maintenance management system), and other project management software, to recommend analytics tools and dashboards to visualize and report on facility and space data.
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Excellent skills at data visualization and reporting – Demonstrated skills with Data, BI and Reporting software packages such as Alteryx, Business Objects, Tableau, Looker, Amazon QuickSight, Power BI, etc.
$185,000 a yearFull-timeRemoteExpandUpdated Today - UpvoteDownvoteShare Job
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Plant monitoring and care during vegetative and flowering phase: trimming and staking; big leafing and pruning; plant care, watering and feeding; plant monitoring and climate control; pest and disease control; inventory data input.
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Indirect: Union and/or non-union warehouse on-floor associates (Loaders, Selectors, Receivers, Forklift drivers, etc.) Direct: Warehouse Managers, union and/or non-union warehouse clerical staff (Operations Clerks, Warehouse Clerks, Will Call Clerks, Slotting Clerks, Truck Builders, etc.
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Familiarity with USACE wetland data forms, ORAM wetland data forms, and QHEI and HHEI stream data forms. Perform data entry, data analysis and report compilation. Understand how to operate a GPS unit to collect field data, map habitat types and sensitive resources.
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Implement high availability, backup strategies, and disaster recovery for OIC platforms ensuring business continuity and data protection. Implement and manage cloud security policies, including identity and access management (IAM), network security, and data protection.
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Are you a passionate analyst interested in both AI and Data Scientist looking to make your mark? Experience with big data technologies (e.g., Snowflake, Google BigQuery) and cloud computing platforms (e.g., AWS, GCP, Azure.
$99,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Maintains BBC’s donor database (DonorPerfect), including data entry, gift processing, data upkeep, list management, and reporting. Experience managing data entry and reporting in a CRM or donor database system.
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data warehouse jobs Title: healthcare data analyst in Lakewood, OH
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