Data Engineer

An AI startup that developed a platform based on Artificial Intelligence (AI) for building design and building systems. The platform encourages organizations to create smart, safe, and sustainable buildings, improving the design, maintenance, and operational processes in the field by uniting their customers' data. This data is processed by the system to automate design processes while reducing the risks of not meeting regulatory requirements.

The company's vision is to optimize infrastructure systems and building construction while saving on energy consumption and construction time. The company specializes in AI and Data Engineering.

Located in Tel Aviv, with a hybrid work model. The company has about 40 employees, founded in 2019, and has raised $20 million.

Role:

• Tech Stack: Python, Spark, Data Pipelines, PostgreSQL, Kubernetes (k8s)
• Designing and writing code that is critical for business growth
• Mastering scalability and enterprise-grade SAAS product implementation
• Sense of ownership - leading design for new products and initiatives as well as integrating with currently implemented best-practices
• Review your peer's design and code
• Work closely with product managers, peer engineers, and business stakeholders

Requirements:

• 5 years of experience as a hands-on software engineer (Python, TypeScript, Node.JS)
• Hands on experience in managing major clouds vendors’ infrastructure (AWS, GCP, Azure)
• Hands on experience in designing and implementing data pipelines, distributed systems and restful APIs
• Proficiency with SQL, modeling and working with relational and non-databases, and pushing them past their limits
• Experience working with CI/CD systems, Docker and orchestration tools such as Kubernetes