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