Related skills
sql kubernetes apache spark data pipelines scylladb📋 Description
- Design and build APIs and backend services with Spring Boot for data products.
- Develop data pipelines and ETL using Apache Spark and Airflow.
- Create scalable, low latency APIs; collaborate across teams.
- Partner with ML and other teams to deliver integrated solutions.
🎯 Requirements
- 8+ years in software and/or data engineering with Spark/Airflow.
- Bachelor's degree in CS/Engineering or related field (or equivalent).
- Expertise in distributed systems and SOLID principles.
- Design and implement low-latency APIs with Spring Boot.
- Proficient in Python/Java/Scala; strong programming skills.
- Experience with AWS/GCP/Azure and Docker/Kubernetes.
- Advanced SQL, data warehousing, large-scale query optimization.
- AdTech data platforms experience preferred; financial data platform preferred.
🎁 Benefits
- Hybrid schedule: in-office Mon-Thu, remote on Fridays.
- Global mental health and financial wellness resources.
- Medical, dental, vision, life, disability, and retirement options.
- Generous vacation and personal time off.
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