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Remote, mid-level generalist Data Engineer role with metro hiring and common title increases competition.
Core data engineering skills are transferable across industries despite AdTech preference.
Mandatory 5+ years plus Spark, Scala, GCS and Kubernetes creates high filtering.
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Design, develop, and maintain scalable ETL pipelines and distributed data applications using Apache Spark and Scala for large-scale data processing in AdTech.
Collaborate with engineering, product, and analytics teams to deliver reliable, high-performance data solutions for batch and streaming workloads.
Optimize data workflows for scalability, reliability, cost efficiency, and troubleshoot production issues in cloud and containerized environments (including Kubernetes).
5+ years of experience in Data Engineering or Big Data Engineering.
Strong hands-on experience with Apache Spark and Scala.
Experience building and maintaining ETL pipelines; strong SQL skills and understanding of distributed data processing.
Familiarity with Google Cloud Storage (GCS) and Kubernetes (K8s).
Experienced in designing and optimizing large-scale data pipelines within AdTech or comparable high-scale environments.
Proficient in cloud-based data engineering platforms with knowledge of container orchestration (Kubernetes) and cloud storage.
Capable of delivering production-grade, performant, and cost-efficient data workflows collaborating across engineering and analytics teams.