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OneStream unleashes organizational value by unifying data management, financial close and consolidation, planning, reporting, analytics, and machine learning. Manage the integration and data quality between Salesforce CPQ & ERP.Manage and analyze key reports for revenue stream, including ARR, ACV, TCV, and Customer Billings.
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Microsoft Windows Server OS, Active Directory, GPO, DNS, DHCP, Power Shell Scripting, Certificate Services, Internet Information Services (IIS); Amazon Web Services, McAfee ePolicy Orchestrator, VMware vSphere Infrastructure, Citrix XenApp, NetScaler, Red Hat Linux, Oracle Linux, Ansible, Office 365, Dell Compellent Storage, Dell Data Domain, Avamar, Identity and Access Management (Okta, AD, Siteminder.
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The Manager, Machine Learning Engineer will be responsible for designing, implementing, and maintaining all components and layers of custom AI solutions, including databases, data processing, model development, testing, and front ends, where applicable.
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Design and build an HR data platform, based on modern data warehousing/lakehouse practices, integrating data from multiple source systems, including cloud and on-premises applications such as Workday, employee listening tools, learning systems and broad HR technology stack.
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Environment: Microsoft Windows Server OS, Active Directory, GPO, DNS, DHCP, Power Shell Scripting, Certificate Services,IIS , Amazon Web Services, McAfee ePolicy Orchestrator, VMware vSphere Infrastructure, Citrix XenApp, NetScaler, Red Hat Linux, Oracle Linux, Ansible, Office 365, Dell Compellent Storage, Dell Data Domain, Avamar, Identity and Access Management (Okta, AD, Siteminder.
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As a TMS Data & Payroll Specialist, you will be responsible for communicating solutions to team members on questions they have with their information held within our HRIS, UKG Pro. On TMS Data & Payroll, the focus is on all confidential team member data.
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Community College Diploma in Mechatronics, Industrial Mechanic/Millwright, Machine Repair or equivalent. Medical, dental, prescription, vision, life and disability insurance; and a flexible spending account 401(k) retirement savings plan with company match Extensive safety training, new hire orientation, continuous learning and development programs and tuition reimbursement Paid holidays and vacation timeWhat do our employees have to say.
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Experience with big data technologies (Domo, Snowflake, BigQuery, Redshift, Hive etc.) The Senior Data Engineer will be the product owner and subject matter expert related to Whiskers Enterprise Data Warehouse and Business Intelligence platform.
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We are seeking a Help Desk Technical Support specialist who will support our Mission Technologies Division, which has over 100 facilities worldwide and provides capabilities to support an all-domain force that includes artificial intelligence and machine learning, autonomous systems, critical nuclear operations, LVC systems, cyberspace strategies, and platform modernization.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Duties: Operate and maintain powder application equipment Utilize electrostatic powder coating techniques Set machine parameters and ensure approved paint is used Document changes made to equipment and process during coating Visually inspect parts Requirements: Former experience preferred Basic math and computer skills Able to work occasional overtime Apply now.
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Work closely with Mopar ICT and ACES compliance manager to ensure vehicle data is accurate and available to Mopar ecommerce platforms. The Mopar Digital eCommerce Strategy and Data Manager is a key role in the Mopar Digital Marketing team building and managing easy to use digital ecommerce experiences across multiple platforms.
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A deep technical background in applied data science, spanning some or all statistics, experimentation, machine learning, causal methods, optimization techniques, data engineering and architecture (applied to large data), and behavioral analytics.
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Dive into our existing data infrastructure—PowerBI, Qlik Replicate, and Snowflake. Develop front end data-oriented applications and tools using TypeScript. Develop data models, pipelines, and analysis using SQL and Python (Pandas, Polars, NumPy, distributed frameworks like Spark.
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Develop, implement, coordinate and/or lead lifelong learning programs that may include but are not limited to computer/technology classes, arts & crafts classes, book clubs, Bible study and other similar programming.
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