senior Data Engineer
2 weeks ago
The ideal candidate will have a strong computer science background, advanced Python knowledge, and experience with cloud services, SQL/NoSQL databases, and Docker/Kubernetes.
Youll 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
- 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
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Lead/Senior Data Engineer
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