Data Engineer
Core
Design and maintain scalable batch and near-real-time data pipelines to support machine learning, analytics, and business initiatives.
Role type
Data Engineer
Builds
Scalable data infrastructure, pipelines, and platforms
Domain
Cloud data engineering
Deliverable
production ML models
Required skills
SQL, Python, Apache Airflow, Apache Spark, AWS data services, relational and NoSQL databases, data modeling, event-driven architecture
Preferred skills
Machine learning models, Docker, Kubernetes, gaming industry knowledge
Technologies
AWS (S3, Athena, EC2, Redshift, EMR, EKS, RDS, Lambda), Apache Airflow, Apache Spark, Docker, Kubernetes
Responsibilities
Design and develop scalable batch ETL and near-real-time data pipelines; Build and evolve reliable data architectures; Ensure data accuracy and consistency; Optimize data delivery and infrastructure scalability; Develop and maintain API integrations; Collaborate with data scientists, MLOps engineers, and BI analysts; Contribute to data platforms and cloud infrastructure.
Seniority
Mid-level, hands-on IC
