Engenheiro de Analytics Pleno (Analytics Engineer)- Vaga Afirmativa para Mulheres
Core
Build, evolve, and maintain data products and features supporting statistical models and analytical applications, translating raw data into reliable and reusable assets.
Role type
Mid-level Analytics Engineer
Builds
Scalable data pipelines, analytical data layers (bronze/silver/gold), and data products for product and technology teams
Domain
Data Engineering / Analytics / Risk & Credit Intelligence
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Apache Spark, Airflow, Git, CI/CD, Data Modeling (Bronze/Silver/Gold), Data Quality & Monitoring
Preferred skills
Feature Stores, Data Contracts, Kubernetes, DataOps, Statistical Modeling & Machine Learning concepts
Technologies
Databricks, AWS, Azure
Responsibilities
Build and maintain scalable batch/streaming data pipelines; Model analytical data structures ensuring clarity and performance; Ensure governance, quality, and observability of data products; Execute data syncs between analytical and production environments; Develop reports and dashboards to support product and technology decisions; Collaborate with Product, Engineering, and Infrastructure teams.
Seniority
Mid-level, hands-on IC