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Data Ops Engineer - 2K Games
Data Engineer
Data Ops Engineer driving scalable data pipelines and infrastructure using Python, SQL, Airflow, Docker, and AWS to support game analytics and product insights.
About the role
Key Responsibilities
- Design, build, and maintain end‑to‑end data pipelines that ingest, transform, and deliver game telemetry and user data to analytics teams.
- Implement and manage Airflow DAGs, ensuring reliability, scalability, and observability of data workflows.
- Containerize services with Docker and orchestrate deployments on AWS (ECS/EKS, S3, Redshift, Athena).
- Collaborate with data scientists and product managers to define data models, schemas, and quality metrics.
- Monitor pipeline performance, troubleshoot failures, and continuously optimize throughput and cost.
Requirements
- 3+ years of experience in data engineering or Data Ops roles.
- Proficiency in Python, SQL, and experience with Airflow and Docker.
- Hands‑on experience with AWS services (S3, Redshift, Athena, Glue, ECS/EKS).
- Strong understanding of ETL concepts, data modeling, and data quality best practices.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythonsqlairflowdockeraws