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Senior Data Engineer - Full Stack - ESL FACEIT GROUP
Data Engineer
Senior Data Engineer leading full‑stack data pipelines, building scalable ETL workflows on AWS, and optimizing Spark jobs to support real‑time analytics for a global esports platform.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end data pipelines using Python, SQL, and Spark on AWS.
- Implement robust ETL processes to ingest, transform, and load large volumes of gaming telemetry and user data.
- Collaborate with data scientists and product teams to deliver high‑quality data models and dashboards.
- Optimize pipeline performance, ensuring low latency and high reliability for real‑time analytics.
- Automate monitoring, alerting, and documentation for data workflows.
Requirements
- 5+ years of experience in data engineering with a strong focus on full‑stack solutions.
- Proficiency in Python, SQL, and Spark for large‑scale data processing.
- Hands‑on experience with AWS services (S3, Redshift, Glue, EMR, Lambda).
- Solid understanding of ETL best practices, data modeling, and performance tuning.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.