Sr. Big Data Engineer, Profile Ingestion

Adobe Adobe · Enterprise · Bucharest, Romania

This role focuses on building and maintaining distributed, resilient, scalable, and highly available microservices for Adobe Experience Platform, which handles petabytes of customer data for real-time personalization. The engineer will be responsible for the design, implementation, deployment, and maintenance of these services, with a strong emphasis on quality, security, and cost efficiency. While the platform powers AI-driven experiences, the core role is in data engineering and microservice development, not direct AI/ML model building.

What you'd actually do

  1. You will join an autonomous and diverse Scrum team, assembled to craft, build and deliver distributed, resilient, scalable, highly available services and software components that compose our stack. We are accountable for the design, implementation, deployments, maintenance and uptime, with a constant focus on quality, security and cost efficiency.
  2. Collaborate with other peer groups and roles to transpose business requirements into feature specs, establish integration design, resolve dependencies and adopt best-practices.
  3. Perform on-call activities, on rotation with the rest of the team.
  4. Share knowledge via mentoring, presentations, blogs and conference.
  5. Research, prototype and stay up to date with the evolution of the industry.

Skills

Required

  • 7+ years of commercial software development experience
  • Solid development skills in Java / Scala
  • writing clear, high-quality and well-documented code
  • building high-scale high-performance and secure services
  • Experience in RDBMS & NOSQL database
  • web services
  • micro-services
  • REST
  • OOD
  • SLC
  • CI/CD
  • source control tools
  • DevOps principles
  • observability
  • Good English level: written and spoken

Nice to have

  • distributed computing systems
  • Cloud infrastructures
  • Spark
  • Akka
  • Kafka
  • Kubernetes

What the JD emphasized

  • high-scale high-performance and secure services
  • distributed computing systems
  • Cloud infrastructures