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Sr. Data Engineer at Pismo. Location Information: Brazil. Summary. Data Teams play a central role at Pismo, providing data-intensive analytics for internal product teams, while also processing and delivering TBs of high-quality data, mainly in streaming form, needed by our partners to produce outstanding products downstream.  Operating mainly in Brazil, the data team recently extended its scope to accelerate the platformization of data services globally, with representatives in Europe and soon in the US and Asia. We are looking for talented engineers who share our culture of trust, mutual responsibility, and technological excellence to be part of this unprecedented and diverse global data organization. . What you'll do. Serve as a senior technical contributor on Pismo’s data stack, leading the design and development of robust, scalable data pipelines using modern Big Data frameworks.. Drive continuous improvement in platform performance, reliability, and cost-effectiveness, proactively identifying opportunities for innovation.. Take ownership of production operations and monitoring (file-based systems), ensuring adherence to SLAs and applying best practices for observability and resilience.. Collaborate with cross-functional teams to architect, build, and evolve high-complexity data features, reducing technical debt and championing engineering excellence.. Provide mentorship to peers through code reviews, feedback, and support, fostering an environment of knowledge sharing and professional development.. Ensure that data pipelines follow the best testing, monitoring, observability, and security practices. . Participate in on-call rotations, promptly addressing and resolving production incidents, while proactively implementing preventative measures.. Build and optimize ETL/ELT processes to handle large-scale data, leveraging advanced data processing and distributed systems techniques.. Maintain rigorous data governance and platform standards, working closely with data stakeholders to ensure consistent, high-quality data assets.. Conduct root-cause analyses for critical issues, challenging and refining team processes to enhance efficiency and reliability.. Influence multiple teams by promoting a culture of technical excellence, forward-thinking solutions, and continuous improvement.. Minimum Qualifications. Language Skills:. B1 English or Above (Intermediate). Technical Skills:. Strong experience as a Data Engineer. Good experience with AWS services (e.g., S3, DMS, Lambda, Kinesis, and IAM). Apache Spark experience or similar tools (e.g., Flink, Hadoop). Python experience. Architectural design experience. Git/GitHub experience. Monitoring tools: Grafana and CloudWatch (logs/tracing/spans/monitoring/alerts/dashboards). SQL experience. Desirable Qualifications. CI/CD experience. Airflow experience. CDC (Change data capture) experience. Core Benefits. Remote work. Flexible hours. Meal & Food vouchers . Remote work financial support. Life Insurance. Medical and Dental. Assistance Employee child care benefit: daycare. Private Pension (2x1). Vidalink partnership. Support for studying languages. Incentive for AWS and GCP certifications. Sesc Partnership. Performance Incentive Plan