Senior Software Engineer for Data Management Platform; bridging software and data engineering.
Design, build, and maintain scalable APIs and data pipelines.
Work with Spark, Airflow, ScyllaDB/Aerospike, Kubernetes, and SpringBoot.
Collaborate with cross-functional teams across Product, ML, Ads.
Explore AI-driven capabilities to improve ad platforms and operations.

🎯 Requirements

8+ years in software or data engineering with big data tech.
Expertise with Apache Spark and Apache Airflow.
Experience with ScyllaDB or Aerospike (NoSQL preferred).
Strong knowledge of SOLID principles and distributed systems.
Advanced SQL skills for large datasets.
Proficient in Python, Java, or Scala; SpringBoot and cloud skills.

🎁 Benefits

Hybrid work: in-office Mon-Thu; remote on Fridays.
Global healthcare, mental health, and financial wellness resources.
Time off and retirement options; accommodations available on request.
Supportive culture with learning and growth opportunities.

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