
Senior Engenheiro de Dados
Posted Aug 4

Posted Aug 4
This is a fully remote position, open to applicants in Brazil.
• Design and evolve data architectures by defining standards, best practices, and strategies for efficiency and scalability.
• Implement FinOps strategies, governance, and integration with AI platforms (ML/GenAI).
• Engage from the project conception phase, collaborating with business areas to understand their needs.
• Translate functional requirements into robust technical solutions.
• Develop resilient and scalable pipelines for data ingestion and processing.
• Apply DataOps concepts to ensure quality, automation, and continuous monitoring.
• Solid experience in data engineering within large-scale environments.
• Experience with Data Lake, Data Warehouse, Lakehouse, and Data Mesh architectures.
• Advanced knowledge of SQL and optimization of complex queries.
• Advanced programming skills in Python and PySpark.
• Experience with cloud data services on AWS (Glue, EMR, Redshift, S3, and Step Functions).
• Experience with ETL/ELT pipelines and orchestration tools (Airflow and Step Functions).
• Strong software engineering practices, including version control, CI/CD, and testing.
• Ability to translate business concepts into quantitative metrics (KPIs/OKRs).
• Meal voucher or food allowance.
• Discounts on courses, universities, and language institutions.
• Stefanini Academy — a platform offering free, updated online courses with certification.
• Mentoring opportunities.
• Benefits club for consultations and exams.
• Health insurance.
• Dental insurance.
• Discounts and advantages at top establishments.
• Travel club.
• Pet care agreement.
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