In this role, you will advise business leaders by providing data-centric strategic direction to identify and address business issues and opportunities
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Data Engineer 3
Requerimientos:
- Nombre del cargo: Data Engineer 3
- Número de vacantes: 1
- Ubicación: San Jose, California / Hybrid
- Formación: Bachelor's Degree
- Nivel Requerido: 5+ years of experience in Business Intelligence and Analytics
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Requirements:
- 5+ years of experience in Business Intelligence and Analytics
- Degree in CS, IT, Statistics, or related fields; and coursework or job experience with advanced data and analytics
- Advanced hands-on experience with enterprise business intelligence software applications including Microsoft Power BI, Microsoft Power Apps, and Microsoft Excel; SnapLogic is a plus.
- Exceptional ability to design and create data visualizations that are intuitive, informative, and impactful.
- Advanced experience using SQL to extract data, understand data structures, and run queries.
- Outstanding problem-solving and analytical skills including talent for conducting research, analyzing data, developing hypotheses, and synthesizing recommendations.
- Ability to coordinate with colleagues and stakeholders across the globe.
- Record of consistently meeting deadlines while working in a fast-paced environment.
- High degree of intellectual curiosity and ability to absorb new concepts quickly.
- Self-starter with an ability to successfully lead through ambiguity and prioritize multiple projects and partners.
- Strong alignment with Adobe’s Core Values: Create the future, Own the outcome, Raise the bar, and Be genuine.
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Funciones:
- Create sophisticated and intuitive business intelligence tools that provide automation and intelligence programs to analysts, management, and executives.
- Design, develop, and maintain data integration pipelines utilizing APIs to extract, transform, and load data from various sources into target systems.
- Utilize Power BI navigation features (e.g.: bookmarks, drill-through) to guide users through compelling data-driven stories.
- Synthesize complex data sets into insights and build analytics stories that lead to strategic business decisions.
- Use SQL, Python, Databricks, Snowflake, and SAP HANA to curate and query large data sets, perform analyses, and create custom views.
- Define acceptance criteria for testing and collaborate closely with engineering, QE, developers, and users to create and implement test plans.
- Modelo de contratación: Payroll W2 Contract
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