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Role Description

This role involves designing and maintaining scalable data pipelines in AWS to support analytics and machine learning use cases.

• Design and maintain scalable batch data pipelines in AWS to power 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.
• Develop ingestion pipelines for marketing and campaign analytics.
• Contribute to CI/CD-driven MLOps workflows for model deployment and monitoring in AWS.
• Collaborate on data governance, cost optimization, and scalable architecture decisions.
• Enable integration of AI and LLM-powered capabilities through robust, future-ready data services.

Qualifications

• Proven experience designing and maintaining scalable data pipelines in AWS.
• Strong SQL skills and experience building analytical datasets for BI and ML.
• Hands-on experience with ETL/ELT processes and data quality best practices.
• Understanding of ML data preparation and feature engineering workflows.
• Experience supporting production systems with reliability and performance in mind.
• Solid knowledge of cloud-based data architecture and cost optimization principles.
• Ability to collaborate effectively across teams and translate business needs into technical solutions.

Requirements

• Experience contributing to 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.
• Experience in marketing analytics or campaign data pipelines.
• A proactive mindset with a strong sense of ownership and curiosity about emerging AI trends.

Benefits

• Flexible working environment - Our teams operate across the globe with options for remote and hybrid working.
• Competitive compensation and stock options - Salaries reflect local market conditions and experience, plus performance-based bonuses.
• Professional growth and learning - Investment in development through courses, conferences, and access to learning resources.
• Health and well-being - Comprehensive benefits tailored to each country, including health coverage and wellness programs.
• Family-friendly culture - Flexibility for parents and initiatives like the airSlate Junior Club for kids.
• Giving back - Support for charitable initiatives through the airSlate Care programme.
• Open communication - Encouragement of transparent dialogue at all levels within the company.