Data Engineer II (with MLOps)

📋 Description Design and maintain scalable batch data pipelines in AWS for analytics and ML use cases. Develop and optimize SQL transformations and analytical datasets for BI and predictive workloads. Build reliable ETL/ELT processes with monitoring and data quality checks. Create feature-ready datasets and support feature engineering pipelines for ML initiatives. Deliver production-grade data to support elasticity modeling and advanced performance analytics. Design data infrastructure for A/B testing and measurable experimentation. 🎯 Requirements Bachelor's or Master's in CS, Data Eng, IS, or equivalent 2-4+ years in Data Eng, Analytics Eng, or backend data roles Hands-on AWS data pipelines and data warehouses experience Strong SQL for transformations and data modeling Proficiency in Python for data processing ETL/ELT, data warehousing concepts (dimensional modeling) 🎁 Benefits Experience with MLOps workflows and CI/CD for ML models Exposure to A/B testing infrastructure and experimentation frameworks Familiarity with AI/LLM integration in product environments Marketing analytics or campaign data pipelines experience Proactive ownership mindset and curiosity about AI trends