Kratos Growth is a rapidly growing consumer intelligence platform that provides actionable insights to leading global brands such as Coca-Cola, Unilever, and Bayer. We are looking for a Senior Data Engineer to architect and scale production data pipelines that power our advanced NLP and ML systems, processing billions of multilingual data points daily.
Key responsibilities
- Design, build, and maintain production data pipelines processing over 10 million text records daily across multiple languages.
- Architect scalable NLP data infrastructure using PySpark, Databricks, and Azure services.
- Integrate Large Language Model APIs into production pipelines for advanced text analysis and enrichment.
- Establish DataOps standards, including CI/CD, testing frameworks, and deployment automation.
- Implement observability and alerting for pipeline health, data quality, and system performance.
Requirements
- 5+ years of experience building and maintaining production ETL/ELT data pipelines.
- 2+ years of experience working with text and NLP data, including tokenization and multilingual processing.
- 4+ years of professional Python experience in production environments.
- Strong proficiency in SQL, including complex queries and performance optimization.
- Experience with Databricks, containerization, and Kubernetes deployment.
What we offer
- Opportunity to work with a modern tech stack and cutting-edge NLP/ML technologies at scale.
- High ownership and impact, with the ability to shape architectural decisions for a platform serving Fortune 500 clients.
- Clear path to technical leadership as a foundational team member in a high-growth environment.
- Fully remote work environment with a collaborative global team.