Data Engineer

We are looking for a Senior Data Engineer to join our Data Engineering Team and take ownership of high-impact, greenfield data initiatives. You will work on building modern cloud-native data platforms, migrating on-premises legacy systems to the cloud, and laying the architectural foundation for AI-ready data infrastructure.

In this role, you will collaborate closely with Machine Learning, Data Science, and Product teams, serving as a key technical contributor and thought leader. You will also drive R&D efforts around agentic AI architectures, event-driven systems, and LLM-ready data pipelines – turning architectural concepts into production-grade solutions.

• Design and build scalable cloud-native data platforms from greenfield to production
• Design and implement near-real-time ingestion pipelines using event-driven patterns
• Define and enforce data platform standards including Data Lake and Lakehouse principles, medallion architecture, and data contracts
• Refactor, optimize, and modernize Spark and PySpark scripts for performance and maintainability
• Introduce best practices for code quality, testing, and CI/CD across data pipelines
• Drive adoption of AI tooling and agentic workflows within the Data Engineering team
• Ensure data quality, observability, scalability, and reliability across all platforms and pipelines
• Design and deliver self-service tooling and microservices that simplify platform usage
• Collaborate with cross-functional stakeholders including Product, Machine Learning, and Data Science teams
• Contribute to architecture decisions and technical R&D initiatives

Additional Information

PERSONAL PROFILE