Key skills
AirflowDistributed SystemsJavaKafkaPythonScalaSparkMachine LearningMLAnalytics
About this role
Role Overview
- partner with product engineering, ML and analytics teams to scope new projects
- help teams migrate ad-hoc or legacy pipelines onto canonical data sources
- debug and unblock tricky integration issues
- document patterns, examples, and recipes for successful integrations
- provide structured feedback to Data and ML Enablement teams
Requirements
- experience with batch and streaming distributed systems (Spark, Kafka, Airflow)
- experience with machine learning systems and infrastructure
- strong software engineering skills
- ability to write production-ready code in Java, Scala, Python, or other equivalent languages
- strong customer mindset
- curiosity about e-commerce
Tech Stack
- Airflow
- Distributed Systems
- Java
- Kafka
- Python
- Scala
- Spark
Benefits
- equity package
- annual performance bonus
- competitive benefits that support you and your family