Data Engineering Team Lead
Lead a team building and operating scalable data pipelines and streaming platforms that support real-time insights, automation, and AI-driven decision-making. This is a hands-on role with ownership of technical strategy and systems from architecture through production.
Responsabilidades
- Lead and mentor a team of Big Data Engineers.
- Design, build, and optimize large-scale data pipelines and streaming platforms.
- Own services across design, development, deployment, monitoring, and operations.
- Improve engineering practices, performance, observability, and reliability.
- Partner with AI, ML, and backend teams to enable real-time automation and decision-making.
- Set technical direction, best practices, and scalable data architecture.
Requisitos
- At least 5 years of big data engineering experience.
- Experience leading engineering teams or technical projects.
- Strong Java development experience, including Spring, Vert.x, or similar frameworks.
- Expertise with Kafka and stream-processing technologies such as Flink, Spark, Beam, or Kafka Streams.
- Strong understanding of distributed systems, microservices, and cloud-native architectures.
- Experience with production monitoring, observability, and performance tuning.
- Experience with PostgreSQL, MySQL, Redis, and ClickHouse.
- Ability to own systems throughout their lifecycle.
Se valora
- Backend engineering experience.