About the role
Responsibilities Build and orchestrate scalable data pipelines to ensure continuous and reliable information flow Develop PySpark routines to process large volumes of data efficiently Model databases applying business rules to consolidate single sources of truth Create and evolve dashboards and semantic models in Power BI integrated with business needs Implement quality tests and governance to ensure database integrity Version code, scripts, and dashboards in repositories following collaborative best practices Apply basic statistics for result validation and structured base preparation Articulate with analytical teams to translate technical needs into actionable solutions Requirements Consistent practical experience with PySpark development Mastery in creating and maintaining analytical views in Power BI Experience with building, managing, and orchestrating data pipelines Experience with code version control in a repository environment Experience working collaboratively in multidisciplinary teams Knowledge of basic statistics for sampling and validation Practical use of AI tools for productivity gains Technical reading and writing in English Preferred Qualifications Experience with GCP Experience using AI for database enrichment Spanish language skills Benefits Flexible schedule and work models Birthday day off Blip Recharge (5 days paid leave per year) Meal or food vouchers (R$ 1,144.00 monthly) Wellhub Plus (Gympass) access Health and dental insurance Life insurance Extended maternity and paternity leave Childcare allowance Educational incentives