Data ETL Engineer

• Design and implement ETL processes for data transformation and preparation
• Deploy machine learning models to production environments
• Manage data pipelines for analytics and operational use
• Ensure data accuracy and integrity across multiple sources and systems
• Collaborate with data scientists to support NLP algorithms and analytics
• Requirements and skills
• 4+ years of experience in data engineering within a production environment
• Advanced knowledge of Python and Linux shell scripting
• Experience with SQL/NoSQL databases (e.g., Redshift, Postgres, MongoDB)
• Proficiency in building stream processing systems using Kafka
• Familiarity with Docker, Kubernetes, and cloud services (AWS, GCP)
• Bonus: Experience with the ELK stack and machine learning knowledge

Job Type: Full-time

Work Location: In person