We're hiring a Senior Data Engineer to build scalable, high-performance data platforms powering large-scale advertising and analytics systems. You'll work on distributed data processing, large-scale ETL pipelines, and cloud-native data infrastructure while collaborating with engineering teams to deliver production-grade solutions.
This role is ideal for engineers who have hands-on experience with Apache Spark, Scala, distributed data systems, and cloud platforms.
Key Responsibilities
- Design and develop scalable ETL pipelines.
- Build distributed data processing applications using Apache Spark and Scala.
- Develop reliable batch and streaming data pipelines.
- Optimize existing data workflows for performance and scalability.
- Work with large datasets ensuring data quality and reliability.
- Deploy and maintain cloud-based data workloads.
- Collaborate with engineering, analytics, and product teams.
- Troubleshoot production issues and improve platform stability.
Must Have Skills
- 5+ years of Data Engineering experience.
- Strong hands-on Apache Spark experience.
- Strong Scala programming.
- Experience building ETL pipelines.
- Excellent SQL skills.
- Experience with distributed data processing.
- Google Cloud Storage (GCS).
- Kubernetes (K8s).