Data Systems Engineer –

Titulo da Vaga: Data Systems Engineer

Localização: Belo Horizonte – MG

Descrição da Vaga: Detalhes da VagaEscolaridade Não InformadoSegmento Não InformadoSalário Não InformadoÁrea de AtuaçãoDiversos / OutrosO que você irá fazer

• As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions.
• Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.
• We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs.
• We’re looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.
• Position: Data Engineer We are looking for an experienced Data Engineer to join our team and work on international projects.
• We seek individuals who want to grow, are challenge-driven, follow good practices, and are passionate about technology.
• Must Haves: Fluent in English 5+ years of experience in Data Engineering : Demonstrated experience in designing, implementing, and optimizing data pipelines, ETL processes, and data warehouses.
• Strong skills in data modeling, database management, and query optimization are essential.
• Business Intelligence (BI) Knowledge: Understanding of BI tools and techniques, including data visualization, dashboard creation, and report generation.
• Ability to translate complex data into actionable insights for stakeholders across various levels of the organization.
• Familiarity with applying data analytics and engineering techniques to support marketing strategies and campaigns .
• Experience with customer segmentation, predictive modeling, and campaign performance analysis is highly desirable.
• Proficient in programming languages such as Python, SQL, and/or R.
• Experience with relevant frameworks and technologies (e.
• g.
• , Apache Spark, Hadoop, Tableau, Power BI) is advantageous.

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