Data Engineer for Cloud-Based Infrastructure Development
Há 4 dias
We are seeking an experienced Data Engineer to join our team at Dataart, focusing on cloud-based infrastructure development. This role involves building, maintaining, and improving our data platform, which serves as the backbone of our customer-facing research and risk products.
Key Responsibilities:
- Design and implement scalable and secure cloud architecture using GCP or AWS.
- Develop and maintain Microservices Architecture using Python and Django.
- Collaborate with the engineering team to optimize data architecture, model best practices for development, and take ownership over architectural decisions.
- Lead system and integration testing, providing guidance via code and design reviews.
- Measure and improve performance monitoring for core backend stack.
Requirements:
- Proficient in Python with a minimum of 5+ years of experience.
- Experience with cloud architecture, Django, and Microservices Architecture.
- Familiarity with the Modern Data Stack, including data warehouses, workflow orchestration tools, data modeling frameworks, and data catalogs.
- Expertise in relational and NoSQL databases, Elasticsearch performance tuning, and ETL data pipelines.
- Strong understanding of Docker and Kubernetes container technology, Continuous Integration and Continuous Deployment (CI/CD) automation.
Salary Range:$180,000 - $220,000 per annum, depending on experience.
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