
Data Pipeline Manager
Há 2 dias
Data Operations Management: Lead the level 3 support team for data operations, providing high availability and proactive monitoring outside business hours with on-call rotation for maintaining critical systems.
Implementation and Standardization of Observability: Work closely with the central operations team to develop and standardize observability practices, ensuring real-time visibility and the health of data systems across the organization.
Quality and Automation (Q&A): Define, implement, and evolve the DevOps concept for data with a focus on quality and automation, managing a team of Q&A Engineers dedicated to creating test scenarios, automation frameworks, and process standardization, implementing automation tools and practices that ensure the reliability of data pipelines and processes, working with multifunctional squads to incorporate Q&A and automation practices from the early stages of development, enabling safe and continuous deployment.
Governance and Continuous Improvement: Develop and maintain data governance standards to ensure data compliance, security, and scalability.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related field.
- Advanced English language skills.
- Proven experience in Data Operations, DevOps, or Data Engineering with a focus on operating and automating data pipelines.
- Knowledge of monitoring and observability (e.g., tools like Datadog, New Relic, or Grafana) and test automation practices.
- Experience with on-call processes and high-availability systems.
- Team management skills, with a track record of leading automation and process improvement projects.
- Strong knowledge of DataOps and DevOps for data, as well as CI/CD best practices applied to data pipelines.
- Performance-based bonus.
- Attendance bonus.
- Casual office environment.
- Days off.
- Health, dental, and life insurance.
- Discounts on company products.
- School materials assurance.
- Language and training platforms.
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