Senior Data Engineer (BI)
Core
Architect and scale data infrastructure and ETL pipelines to power production-ready machine learning models for global consumer brands.
Role type
Senior IC data engineer (ML infrastructure)
Builds
Production ML models, resilient data frameworks, and internal data tools for Marketing Science & Analytics teams
Domain
eCommerce, AI/ML, Big Data
Deliverable
production ML models
Required skills
Advanced SQL optimization, Python (object-oriented), Apache Airflow, AWS ecosystem (S3, Glue, Athena, Redshift, Lambda, EC2, RDS, EMR, VPC, ECS/EKS), Docker, Kubernetes
Preferred skills
CI/CD implementation, cost-efficiency optimization, data governance
Technologies
AWS, Apache Airflow, Python, SQL, Docker, Kubernetes, GitHub Actions, GitLab
Responsibilities
Design and scale advanced ETL pipelines, lead Airflow-driven data workflows, optimize large-scale datasets, operationalize ML models in batch and real-time environments, improve cost-efficiency and scalability, elevate data quality standards, build internal data tools
Seniority
Senior, hands-on IC
