Full Stack Data Solutions Architect

1 semana atrás

Manaus, Brasil beBeeDataEngineer Tempo inteiro

Job Description: About Us We are an innovative technology company that specializes in agile product development and content creation. Our focus is on delivering engaging user experiences that drive growth for our partners. We have offices in the United States and Cayman Islands, and collaborate with global partners to create next-generation user-centric offerings. Our ecosystem includes products like Weather Now, a real-time weather app, and Wave Browser, a secure web search tool. Our approach is data-driven and quality-focused. We move fast, think big, and build experiences that people love. About the Role: We are seeking a Full-Stack Data Engineer to join our Mobile Applications department. This role combines data engineering with data science overlap, giving you full ownership of the data lifecycle - from ingestion to transformation, analysis, and storytelling. You will design and optimize scalable pipelines, ingest mobile app data from diverse sources, ensure infrastructure reliability, and deliver insights that directly influence how our apps grow. Key Responsibilities: Data Infrastructure & Pipelines Build and maintain scalable, end-to-end pipelines across cloud environments. Ingest and transform data from files, APIs, mobile telemetry (Firebase, Amplitude, Google Analytics), and external databases into centralized stores. Continuously monitor, troubleshoot, and optimize infrastructure for performance, scalability, and cost-effectiveness. Implement data quality monitoring, governance policies, and best practices for privacy, security, and compliance. Participate in technical architecture discussions, contributing expertise on scalable, efficient data systems. Analytics & Insights Conduct exploratory and advanced analysis using SQL, Python, and statistical methods. Collaborate with Analysts, Data Scientists, and Product Managers to translate business requirements into technical solutions. Support experimentation and A/B testing by ensuring clean, reliable datasets and analyzing results. Deliver actionable recommendations that influence mobile product strategy, user acquisition, and retention. Collaboration & Best Practices Engage in peer code reviews to uphold high standards of quality and maintainability. Work cross-functionally with software engineering and business teams to ensure data solutions align with company priorities. Document pipelines, workflows, and methodologies to foster reusability and knowledge sharing.

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