We are DataRoot Labs (DRL) — a team of experts with an ambition to help Ukrainian Data Science and AI industries flourish. We’ve been creating R&D for well-funded startups from Europe, Israel, and the US since 2016. We enjoy working on complex AI projects using state-of-the-art technologies and solutions.
24 червня 2024

Senior Data Engineer (with Ops experience)

віддалено до $6000

DataRoot Labs is looking for a Senior Data Engineer! In this role, you will join the client’s dev team while communicating closely with our Data Science/AI crew to ensure tight cross-functional collaboration between the client and DataRoot Labs.

Our customer is a funded, innovative, zero-touch operational platform revolutionizing the eCommerce landscape from Israel. It’s a game-changer for direct-to-consumer brands, offering a proactive operational cockpit that transforms real-time data into actionable insights. This platform not only enhances operational visibility but also seamlessly integrates with various business aspects, leveraging AI and ML for superior insights and analytics.

The project’s goal is to integrate with the existing client’s infrastructure and expose the data to ML engineers so they can create models based on it.

Responsibilities
• Design, initiate, and lead backend development components
• Combine, collect, and organize raw information from different sources
• Define and manage the data pipelines
• Analyze the data using tools and algorithms, including Machine Learning
• Work closely with the product team to productize state-of-the-art user experience capabilities
• Overseeing and guiding the analyzing, writing, building, and deployment of the software

Requirements
• At least 6 years of experience as a Software Engineer
• Excellent English communication skills, both written and verbal
• Deep knowledge in Python and Java and experience in:
─ Data pipeline in Python with Airflow, AWS Lambda, Apache Beam, and similar
Building complex, large-scale applications based on Big Data
─ Working with relational and non-relational DB
─ Building cloud-based scalable products
─ AWS and its services, i.e., security, monitoring, EKS
─ Working with Micro-services, Docker, and familiarity with Kubernetes
─ Integrating and writing APIs
• Familiarity with Agile methodology

Would be a Plus
• Data analysis, generating insights, and data modeling experience
• Practical knowledge of AI and machine learning technologies

Benefits
• Startup culture, being part of a strong product-oriented team that consists of senior specialists
• Opportunity to leverage your skills with fellow engineers and shape the future of the startup
• The newest technical equipment (MacBook Pro on M3 chip)
• 20 working days of annual vacation leave
• Paid sick leaves
• English courses, educational events & conferences covered by the company upon request
• Premium medical insurance covered by the company
• Accountant services covered by the company

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