Position: Machine Learning / Data Engineer
Category: Data Science
English level: fluent
Years of experience: 4


- Coding using Java, Python, Groovy
- Designing and implementing ETL processes for data pipelines using Glue, PySpark, Spring Batch
- Building predictive models using machine learning techniques (XGBoost, Random Forest)
- Design and development of web services / microservices for ETL steps (Spring, Falcon) and ML models (scikit-learn, PyTorch) and its CI/CD integration (Docker, Kubernetes, AWS, CircleCI, Git)
- Anomaly detection using SparkML
- Designing and developing various data mining applications for natural language processing: web crawlers (HtmlUnit/HttpClient) and search systems (Lucene)
- Database knowledge: SQL (MySQL, Aurora, Postgres) and NoSQL (OrientDB, MongoDB)