Develop data ingestion and transformation pipelines (ETL/ELT) in Data Lake and Data Warehouse environments.
Implement data quality, monitoring and validation routines.
Build and maintain APIs for data consumption by systems and applications.
Document data flows, business rules and data models used.
Participate in relational and analytical data modeling.
Collaborate with BI, Product and Data Science teams to structure and make data available.
Automate data delivery processes using orchestration tools.
Support the evolution of the company’s data architecture together with architecture and DevOps teams.
Work with version control and CI/CD to ensure traceability and reproducibility of pipelines.
Participate in agile ceremonies and development cycles (Scrum/Kanban).

Bachelor’s degree in Computer Science, Engineering, Information Systems, Statistics or related fields.
Strong knowledge of SQL and Python for data manipulation.
Experience building pipelines with tools such as Airflow, StreamSets, NiFi or similar.
Knowledge of data modeling (normalized and dimensional).
Hands-on experience with relational databases (PostgreSQL, SQL Server, etc.) and non-relational databases (MongoDB, etc.).
Experience with Linux environments and shell scripting.
Knowledge of OLTP, OLAP, Data Lake, Data Warehouse and Lakehouse concepts.
Familiarity with CI/CD processes and Infrastructure as Code (IaC).
Experience in data migration or integration projects across platforms.

💻 Company laptop for employees based in São Paulo, or 💸 infrastructure allowance to cover internet and supplies for those outside São Paulo.
🤑 13th salary (annual bonus).
🛫 30-day vacation + one-third vacation bonus (benefit accrued after 1 year of employment).
🏥 SulAmérica Health Insurance.
💚 Life insurance.
💳 Meal voucher per working day (Flash Card; credit/debit; accepted at vendors with CNPJ in the food sector, e.g., restaurants, supermarkets and apps).
📴 Day off + extra credit on the Flash Card for the employee's birthday (one-time yearly).
🦷 SulAmérica Dental Insurance
optional plan.
🏋🏻 Incentive for physical activity
TotalPass.
📚 Education support
monthly reimbursement for courses and training (per policy).
✅ Semiannual performance reviews with feedback and development plan (PDP).
🪴 Modern office designed for inclusivity, with an on-site bistro-style cafeteria.

Data Engineer – Mid-level

Key skills