We’re seeking a Senior Data Engineer to enhance our Data Science Team, focusing on implementing and managing data workflows that support machine learning models and large-scale analytics.
This role involves designing ETL processes, ensuring data quality, and deploying ML models to production.
The ideal candidate will have a strong computer science background, advanced Python knowledge, and experience with cloud services, SQL / NoSQL databases, and Docker / Kubernetes.
You’ll work closely with our data science and product teams to drive insights and innovations.
Responsibilities
- 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
- 10+ 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
Senior Data Engineer - Remote
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