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Experience using business intelligence tools (e.g., Cognos, Power BI, Tableau). Use independent judgment, financial and data analysis tools, knowledge of Federal, State and University requirements and procedures in the enrollment management space, and resourcefulness to develop and implement detailed project plans.
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A bachelor’s degree in computer science, Business or equivalent experience and eight (8) or more years of experience as a data engineer, with strong proficiency Databricks, and Azure Data Factory.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Experience with Databricks, Power Automate, Power BI, Azure SQL. Design and implement data solutions using Azure services (e.g., Synapse Analytics, Databricks, Snowflake, Azure SQL, Azure Blob Storage, ADLS Gen2, Azure Functions, Azure Key Vault, AI/ML.
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Familiar in fields related to artificial intelligence, machine learning, and data science. Artificial Intelligence (AI), Computer Science, Data Science. Agile Methodology, AWS Cloud Computing, Back-End Development, Data Engineering, Design Applications, Front-End Engineering, Full Stack Software Development, Software Design, Software Development, Software Development Life Cycle (SDLC), Software Engineering, Solution Architecture, Structured Query Language (SQL), Systems Integration, Testing.
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Familiarity with cloud based analytics and CRM platforms (Salesforce) and data visualization tools (Domo). Partner on and serve as the data science and technical lead for demand forecasting and the burgeoning demand planning function.
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Our team is responsible for enabling H&H business (Product, Analytics, Operations, Finance, Data Science, Machine Learning, Customer Experience, Engineering) by providing a platform with a rich set of data and tools to leverage.
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Microsoft related certifications Experience with visualization tools such as Tableau (preferred) or Power BI. The Finance Team You’ll find a strong sense of community, collaboration, and cross-functional partnering within the Epicor Finance and Accounting organization.
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Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity.
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Benefits: Bi-Weekly Pay Affordable Health Benefits (for those who qualify) Flexible Scheduling Accelerated pay-raise program Incentive games (cash, games, prizes, etc.) -Telephone Interviewers collect survey data by phone and complete the following duties on a daily basis: making outbound phone calls, reading a script verbatim, asking questions to respondents, and recording responses to open ended questions or multiple choice questions.
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In this role, you’ll grow your technical expertise, apply best practices, and use tools, including Microsoft SQL, SSIS such as SQL Server Integration Services, Microsoft Azure, and Oracle, to design databases, build data models, conduct ETL processes, design and manage data warehouse applications, and optimize cloud computing resources.
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You will influence Data Center design documents for: One-lines, Switchgear, UPS, Panelboards, Transformers, Power, Lighting, Lighting Control Systems, grounding, Fire Alarm systems, Short Circuit and Arc Flash analysis, Cable tray and Cable pathways for Ethernet and Fiber systems.
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Develops and maintains analytical tools, such as Power BI or Excel dashboards, for data that is routinely reported on and analyzed. Develops, manages, and maintains data collection systems using available resources, including Microsoft Excel, Forms, Power BI, and Power Automate.
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Collaborate with the Security and Legal functions to ensure data security and adherence to all data privacy regulations and we are compliant with SOX/audit requirements and significantly raise the bar in terms of data, business process, and access security.
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Utilize experience on various BI and data tools like PowerBI, Azure Data Engineering methodologies (ASQL, ADF, ADL, Logicapp, etc. Knowledge on technical competence with the latest technologies (Azure, Power BI, SQL Server, SSIS, SSRS, SSAS, Azure/AWS Cloud, Devops (ADO), Snowflake, Mobility & Security.
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