Software Development Engineer - Adobe Analytics

Requirements

• Passionate about computer science, developing software & internet applications

• Strong algorithm and logical skills, very good problem-solving skills, and ability to investigate to find the root of the problem

• Proven knowledge of Java technologies/frameworks

• Experience in designing and developing scalable and distributed applications

• Experience in regards to observability i.e. monitoring, logging, tracing

• Proven experience with OOD and processes for development and testing

• Proficient in standard methodologies for writing code that is maintainable and secure

• Ability to research and become proficient in new technologies

• Committed to the highest levels of quality, demonstrates accuracy and thoroughness both in testing and code development

• Proficiency in scrum terminology and processes

Nice to Have

• Experience with data technologies and Typelevel ecosystems, i.e. Hadoop/HBase/MapReduce/Iceberg, Kafka; operational experience with these it's considered a plus

• Scala and Spark knowledge

• Experience in working with infrastructure, i.e. cloud providers, containers, and orchestrators is a plus

• Experience with build management tools, preferably Jenkins

• Experience with monitoring solutions: Prometheus, Grafana.

What You'll Be Doing

• Contribute to the design and new feature development.

• Collaborate with business partners, architects, technical leads, product management, and analysts to develop high-quality customer-centric solutions.

• Architect, develop, and optimise data pipelines using Scala/Java, Spark, and Databricks to handle large-scale data processing, according to specifications, while keeping a strong product-first approach.

• Ensure high availability and reliability of data pipelines, including failover mechanisms, data validation, and monitoring

• Optimize resource usage and cost efficiency in multi-cloud deployments

• Conduct sophisticated investigations to understand the root cause of data misalignment

• Be part of an Agile, highly collaborative, and passionate team working on new product development.

• Research various technologies useful for the project and keep in touch with the evolution of the Analytics market.

• Improve your technical and team working skills.

• Participate in engineering on-call schedule.