Chief Data Architect

Há 2 horas

Manaus, Brasil Bebeedataengineer Tempo inteiro

Senior Data EngineerWe are looking for a highly skilled Full-Stack Data Engineer to join our organization.This is a hybrid role that combines data engineering with data science overlap, giving you full ownership of the entire data lifecycle — from ingestion to transformation, analysis, and storytelling.Data Infrastructure & Pipelines:Design and implement 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.Contribute to technical architecture discussions, providing 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 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.Requirements: Bachelor's degree in Computer Science, Engineering, or related field.3+ years of experience as a Data Engineer or in a similar technical role focused on data infrastructure and pipelines.Strong expertise in SQL and proficiency in Python (or a similar programming language).Experience with AWS (Redshift, RDS, S3) and Google Cloud (BigQuery, Firebase) for managing cloud-based databases and analytics tools.Familiarity with data pipeline orchestration tools.Strong knowledge of data warehousing concepts, ELT/ETL best practices, and dimensional modeling.Experience with version control systems.Excellent communicator who can bridge technical depth with clear storytelling for non-technical stakeholders.

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