Lead Data Engineer

Talworx is seeking a Lead Data Engineer to join their FintechProductbased client team. The role involves building and maintaining data pipelines, deploying machine learning models, and collaborating within a global team to solve complex problems and deliver long-term customer value. This position offers a truly global work environment and encourages thoughtful risk-taking and self-initiative.

Requirements

• 2-6 years of relevant experience in data engineering, automation, or ML deployment
• Expert proficiency in Python
• Hands-on experience with task queues and orchestration: Celery, Redis, Airflow
• Strong AWS expertise: EKS/ECS, Lambda, S3, RDS/DynamoDB
• Containerization and orchestration experience: Docker (mandatory), basic Kubernetes (preferred)
• Proven experience deploying ML models to production
• Solid understanding of CI/CD practices and hands-on experience with Azure DevOps
• Familiarity with SQL and NoSQL stores (e.g., PostgreSQL, MongoDB)