Analytics Engineer - Senior

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