Senior Data Engineer

5+ years working with data engineering, big data, or similar roles. Strong SQL skills and hands-on experience with databases like BigQuery, Spanner, or equivalents. Proficiency with GCP services (Dataflow, Pub/Sub, Cloud Storage). Experience building ETL/ELT pipelines and working on data for analytics or targeting use cases. Experience with container tools like Docker and Kubernetes. Familiarity with event-streaming platforms (Kafka, Pub/Sub). Knowledge of data modeling, query optimization, and performance tuning. Proficient in at least one programming language used in data (e.g., Python, Go, or Java).

Design and build reliable data pipelines and ETL/ELT processes to move and transform data at scale. Use GCP tools like BigQuery, Spanner, and Dataflow to manage real-time and batch data. Work on systems that support audience targeting, insights generation, and campaign analytics. Build and maintain APIs to connect data across different tools and teams. Tune databases and queries for high performance. Work with event-streaming tools such as Kafka or Pub/Sub to enable real-time processing. Monitor and troubleshoot data quality, speed, and reliability issues. Collaborate with engineers and analysts to improve how data is used across the company.