Data Infrastructure Specialist

1 semana atrás

Curitiba, Brasil Bebeedataengineer Tempo inteiro

About the RoleAs a Senior Data Engineer, you will play a pivotal role in building scalable data pipelines, ensuring infrastructure reliability, and delivering actionable insights to drive mobile app growth.Key Responsibilities:Design and implement end-to-end pipelines across cloud environments, ingesting and transforming data from various sources into centralized stores.Continuously monitor, troubleshoot, and optimize infrastructure for optimal performance, scalability, and cost-effectiveness.Develop and enforce 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 to uncover valuable insights.Collaborate with Analysts, Data Scientists, and Product Managers to translate business requirements into technical solutions.Ensure clean, reliable datasets and analyze results to support experimentation and A/B testing.Deliver actionable recommendations influencing 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.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 (dbt, Airflow, or similar).Strong knowledge of data warehousing concepts, ELT/ETL best practices, and dimensional modeling.Experience with version control systems (e.g., GitHub).Excellent communicator who can bridge technical depth with clear storytelling for non-technical stakeholders.Benefits:This role offers a unique opportunity to work on cutting-edge data projects, collaborate with experienced professionals, and contribute to the growth of a leading organization.By joining our team, you will have the chance to develop your skills, take on new challenges, and make a meaningful impact on the mobile app landscape.

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