Senior Data Warehouse Developer

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🕒 Junho 25

🗽 New York – Remoto

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💵 $86.482 - $129.723 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 33%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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UR Ventures

11 - 50 funcionários

📚 Educação

🤝 B2B

🔬 Ciência

Education • B2B • Science

A UR Ventures é o braço de inovação e comercialização da Universidade de Rochester, focada em avançar a pesquisa e o empreendedorismo acadêmico. Ela conecta professores e pesquisadores da universidade com parceiros da indústria para facilitar o desenvolvimento de novas tecnologias e negócios que possam impactar positivamente a sociedade. A UR Ventures promove a colaboração, a criatividade e a transferência de conhecimento, contribuindo assim para a missão da universidade de tornar o mundo sempre melhor.

Descrição

• Architecting, designing, developing, implementing and supporting various components for the enterprise data warehouse and associated data sources. • Works independently and provides support for reporting projects, as well as process and architectural recommendations. • Mentoring staff, demonstrating best practices, planning for business continuity and sustainability and working on projects that support Business Intelligence and Data Warehousing functions as assigned. • Works with the user community and reporting team to understand business data and data transformation requirements. • Converts those requirements to functional/technical specifications for database and integration design. • Manages requests and/or components of larger projects with appropriate documentation and status reports. • Architects data integration and transformation processes across on premise and cloud data sources. • Provides leadership and is a subject matter expert depending on area of focus. • Designs and develops data integration and transformation processes across on-premises and cloud data sources using enterprise tools such as Informatica, Denodo, SQL Server, SSIS, Oracle Data Integrator, and Boomi AtomSphere, selected based on environment and requirements. • Develops data models and database designs that leverage their knowledge of data warehouse modeling best practices. • Collaborates with other team members using scrum processes or other project management disciplines depending on area of focus. • Follows best practices for change and code management. • Provides supporting technical documentation that is written, organized and maintained. • Participates in ongoing stabilization, support and maintenance. • Provides on call support as needed for business continuity and operations. • Attends webinars, reads case studies and white papers, and participates in opportunities to further refine skills and stay apprised on functional area topics.

🎯 Requisitos

• Bachelor's degree in a related discipline such as Computer Science, Business, Mathematics, Statistics, Science or Engineering required • 5 years of related experience required • Equivalent combination of education and experience required. • Multiple project experience with Data Warehousing ETL technologies and overall knowledge of Data Warehousing/Business Intelligence lifecycles required. • Experience with dimensional data models required • Experience with OMOP data model preferred • Experience with integrating data warehouses with business intelligence metadata tools preferred • Experience with service oriented architecture and enterprise information integration preferred • Experience with the Denodo Virtualization Platform preferred • Experience with Informatica IDMC, MDM preferred • Experience with MS SQL Server Tools preferred • Strong Analytical and problem solving abilities required • Ability to actively participate and collaborate on a team required • Excellent written communication skills. • Ability to translate functional business requirements into documented system requirements and designs required • Understanding of data warehouse and agile software development processes required • In depth understanding and development experience using SQL, Pl/SQL and UNIX scripting languages with SQL based databases (Oracle, DB2 or SQL Server) required • Proficiency in developing data transformation packages/stored procedures required

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