Design and maintain scalable batch data pipelines in AWS to support analytics and machine learning use cases. Develop efficient SQL transformations and build analytical datasets that serve both business intelligence and predictive modeling needs. Implement reliable ETL and ELT workflows with built-in monitoring and data quality controls to ensure consistency and accuracy.
What You'll Do
- Build and optimize data pipelines that feed into BI systems, ML models, and experimentation platforms
- Create feature-ready datasets and support pipelines for machine learning initiatives
- Design data architectures for A/B testing and measurable product experiments
- Develop ingestion systems for marketing and campaign analytics
- Support CI/CD-driven MLOps workflows for model deployment and performance tracking
- Collaborate on cloud data governance, cost efficiency, and long-term scalability
- Enable AI and large language model integrations through resilient data services
Requirements
- Proven track record in building and maintaining cloud-based data pipelines in AWS
- Strong proficiency in SQL and developing datasets for analytical workloads
- Hands-on experience with ETL/ELT processes and data validation frameworks
- Understanding of ML data preparation, feature engineering, and model lifecycle support
- Solid grasp of cloud data architecture, reliability, and cost optimization
- Ability to translate business requirements into scalable technical solutions
Preferred Qualifications
- Experience with MLOps and automated deployment pipelines for ML models
- Familiarity with A/B testing systems and experimentation tooling
- Background in marketing analytics or campaign data processing
- Exposure to AI and LLM-powered product integrations
- Proactive approach with curiosity about emerging technologies and data trends
Technical Stack
AWS, SQL, ETL/ELT, CI/CD, MLOps, BI platforms, data quality tools, A/B testing frameworks, AI/LLM integration
Benefits
- Flexible work options: remote, hybrid, or in-office across multiple countries
- Compensation aligned with local markets, performance bonuses, and stock options
- Access to learning resources, conferences, and internal career development
- Health and wellness benefits, including mental health days and fitness support
- Family-friendly policies, parental flexibility, and community events
- Support for charitable giving and humanitarian efforts
- Transparent communication, including regular leadership Q&A sessions
