Requirements

A strong passion for computer science and data engineering, with a focus on delivering high-scale data processing solutions in a production environment
Proven expertise in big data processing field: Spark, Delta Lake (or equivalent Lakehouse technologies)
Good understanding of table formats, schema evolution, and advanced data modeling
Hands-on experience with performance optimization, large-scale cluster tuning, and efficient big data architectures
Solid programming skills in Scala and/or Java, with the ability to engineer robust, maintainable pipelines
Validated ability to research and become proficient in new emergent technologies, with an emphasis on leveraging AI coding agents to enhance productivity
Validated experience implementing observability best practices—monitoring, logging, and tracing—across distributed data systems
A problem-solving mindset, capable of diagnosing root causes and delivering solutions for complex data challenges
Commitment to the highest levels of quality, puts focus both in testing and code development
Very good written and verbal communication skills
Very good English language knowledge, written and spoken

Nice to Haves

Experience with Big Data Lakehouse technologies like Hadoop, HBase, MapReduce, Iceberg, DeltaLake, Kafka, Databricks is a plus
Spark knowledge is a huge plus
Experience in working with infrastructure, e.g., cloud providers, containers, Kubernetes, VM/Bare metal deployments, is a plus

Be involved in all the product development and delivery stages, as part of an agile engineering team
Research various technologies useful for the project and keep in touch with the evolution of the industry
Work in an environment that supports individual growth and continuous learning
Contribute to and promote good software engineering practices across the team
Provide guidance in architecture, design & code reviews
Possibility to contribute to Open Source projects
Perform on-call activities, on follow the Sun rotation with the rest of the team

Work on Adobe Experience Platform to drive real-time customer intelligence
Solving complex challenges in a collaborative, fast-paced environment
Opportunity to develop modern data architectures and Big Data/Lakehouse solutions
Access to Equal Employment Opportunity and exceptional employee experiences