Reliability: Monitoring SLIs/SLOs and error management.
FinOps: Optimization of processing costs (Spark), Azure storage, SQL Warehouse.
Big Data troubleshooting: Diagnosing incidents in Spark environments and cloud networks.
Post-mortem culture: Root cause analyses to prevent recurrence of issues.

Bachelor's degree completed or in progress;
Experience in data engineering and analytical platforms, including development, testing, and maintenance of pipelines;
Experience working with Microsoft Azure and Databricks environments;
Knowledge of SQL, ETL/Data Warehousing tools, and relational and NoSQL databases;
Troubleshooting experience in cloud environments;
Experience with observability tools to meet operational KPIs (SLA, SLO);
Knowledge of infrastructure as code;
Knowledge of CI/CD for Data Engineering (DataOps) (Preferred);
Familiarity with data governance and security (Unity Catalog) (Preferred).

Flexible meal and food allowance;
Health insurance;
Dental plan;
Wellhub and TotalPass;
Bio Ritmo gym exclusive for employees: at the Headquarters complex;
Profit-sharing (PLR);
Share program: "Porto em Ação" — complementary to PLR until 2025;
Sand courts and multipurpose sports courts: at the Headquarters complex;
Transportation voucher;
Shuttle van services: available at main access stations to Porto (Luz, Barra Funda, Santa Cecília, and Júlio Prestes);
Extended parental leave: up to 40 days for all family configurations;
Extended maternity leave of 6 months;
On-site medical clinic with specialists: at the Headquarters complex and Barra Funda;
Childcare or nanny assistance;
Life insurance;
Private pension plan
PortoPrev;
Discounts on products and services;
Education scholarship: reimbursement for undergraduate, postgraduate, or MBA studies;
Monthly races: subsidies for major road races in São Paulo;
Language course reimbursement (English or Spanish);
Porto Theater: exclusive sessions for employees;
Library;
Rest area: at the Headquarters complex;
Game room: at the Headquarters complex;
Massage and podiatry services: at the Headquarters complex

Mid-level Data Platform Engineer

Key skills