Risk & Control Specialist
4 weeks ago
- Design, build, and maintain scalable ETL/ELT pipelines to process large volumes of structured and unstructured data.
- Develop automated data ingestion and transformation workflows using Python, SQL, and cloud services (AWS, GCP, Alibaba Cloud).
- Integrate real-time and batch data sources from APIs, databases, and third-party platforms.
- Design and optimize relational and NoSQL databases (PostgreSQL, MySQL, MongoDB).
- Manage cloud-based data infrastructure using AWS, Alibaba Cloud, or Google Cloud.
- Implement CI/CD pipelines for data applications using GitHub Actions, Docker, and Kubernetes.
- Work with big data technologies (Hadoop, Spark) for large-scale data processing.
- Build data models, warehouses, and lakes to support business intelligence and AI/ML projects.
- Ensure data integrity, quality, and governance across multiple platforms.
- Collaborate with data scientists to deploy ML models into production environments.
- Optimize model performance and inference pipelines using Python frameworks (TensorFlow, PyTorch, Scikit-learn).
- Develop tools for feature engineering, data labeling, and model monitoring.
Tell employers what skills you have
Document Management
TensorFlow
Version Control
Archiving
PostgreSQL
Big Data
Inventory Control
Biology
PyTorch
Food Science
Commercialization
Change Control
Google Cloud
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