Trab
PreçosBlog

Data Engineer, Data Lake na Pismo

Remoto - São Paulo, SP

Candidatar-se

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.

This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice.

0

Requirements

Education

  • Bachelors degree, OR 5+ years of relevant work experience

Experience

  • 2+ years of relevant work experience
  • 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
  • CI/CD experience
  • Airflow experience
  • CDC (Change data capture) experience

Skills

  • Big Data frameworks
  • platform performance
  • reliability
  • cost-effectiveness
  • observability
  • resilience
  • high-complexity data features
  • technical debt reduction
  • engineering excellence
  • code reviews
  • testing
  • monitoring
  • security practices
  • on-call rotations
  • incident resolution
  • preventative measures
  • ETL/ELT processes
  • data processing
  • distributed systems techniques
  • data governance
  • platform standards
  • root-cause analyses
  • process refinement
  • technical excellence
  • forward-thinking solutions
  • continuous improvement

Languages

  • B1 English or Above (Intermediate)

Responsibilities

  • 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.

Technologies

AWS services (S3, DMS, Lambda, Kinesis, IAM)Apache SparkFlinkHadoopPythonGit/GitHubGrafanaCloudWatchSQLCI/CDAirflowCDC

Descubra se seu currículo está pronto para esta vaga

Veja como nossa IA pode otimizar seu currículo e aumentar suas chances de conseguir esta posição.

© 2026 Trab. Todos os direitos reservados.