Data Engineering Expert
7 days ago
About the Role
We are seeking a highly skilled Data Engineering and Cloud Infrastructure expert to drive innovation in our next-gen platform. As a key member of our technical team, you will leverage data pipelines, AWS cloud services, and cutting-edge machine learning technologies to scale our data systems and support product initiatives.
Key Responsibilities- Data Engineering & System Optimization: Design and implement scalable data pipelines for ETL (Extract, Transform, Load), leveraging cloud technologies and ensuring efficient data processing.
- Cloud Infrastructure Management: Optimize and manage AWS cloud infrastructure (EC2, S3, Lambda, RDS) to ensure high availability and reliability of our data systems.
- Machine Learning & Automation: Automate data workflows and integrate machine learning models (TensorFlow, PyTorch) to improve data accuracy, scalability, and efficiency.
- KPIs & Performance Tracking: Define, track, and optimize key performance indicators (KPIs) to measure system performance, data flow, and model efficacy.
- Minimum of 10 years of experience as a Full Stack Developer, with a strong focus on data systems design, cloud infrastructure, and data engineering.
- Strong proficiency in TypeScript, Python, and familiarity with testing frameworks (e.g., Jest, PyTest).
- Experience with AWS services (EC2, S3, Lambda, RDS) for cloud-based architecture.
- Expertise in SQL and relational databases, with a track record of optimizing data storage and retrieval.
- Experience in building and maintaining machine learning models (experience with TensorFlow or PyTorch preferred).
- Competitive salary range of $150,000 - $200,000 per year.
- A dynamic startup environment where your contributions directly impact company growth.
- The opportunity to make a real impact on the future of the DeFi industry.
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