Senior Data Engineer, Brazil

Key Responsibilities:

• Design, implement, and maintain end-to-end data pipelines (ELT/ETL) with focus on reliability, reprocessing, and cost-efficiency.
• Orchestrate data loads using Airflow (AWS) and serverless functions, model data in Snowflake (bronze/silver/gold) and develop transformations with dbt.
• Build integrations and services in Python with FastAPI, write high-performance SQL, and ensure data quality, observability, security, and documentation.

Requirements:

• Solid experience with SQL (query optimization, relational and analytical modeling).
• Practical experience with Snowflake (warehousing, roles, tasks, performance, costs) and dbt (models, tests, sources, exposures).
• Experience building data pipelines with Airflow (DAGs, sensors, retries, SLA) and AWS Lambda.

Nice to Have:

• Experience with EKS/Kubernetes for data workloads.
• Market data integration (providers, formats, rate limits, history, calendar).
• Monitoring/observability (Prometheus/Grafana/CloudWatch) and data quality beyond dbt.

Benefits:

• Health and dental plan.
• Meal and food voucher.
• Extended parental leave and childcare assistance.
• Gympass partnership and profit sharing.