dmitryplhn
Data Engineer / Ml Ops
Final-year Computer Science engineering student with 3 years of experience in Data Engineering, Machine Learning and MLOps at Société Générale Assurances. Strong background in Python, C/C++, SQL, data engineering, applied mathematics, probability, statistics, optimization and machine learning.
I have worked on large-scale data processing, Python automation, ML/data analysis and cloud data pipelines, including the migration and processing of 500+ GB of datasets.
I am particularly interested in quantitative finance, systematic trading and financial markets, including market microstructure, order books, execution and market data.
I am currently looking for full-time opportunities as a Quantitative Developer / Quantitative Engineer, Quantitative Research Analyst, Quant Data Engineer, Market Data Engineer or Data Engineer, with a preference for remote or Europe-based roles.
Experience: 3 years
Yearly salary: $60,000
Hourly rate: $40
Nationality: 🇺🇦 Ukraine
Residency: 🇫🇷 France
Experience
Data Engineer / MLOps
Société Générale Assurances 2023 - 2026
Data Engineer / MLOps apprentice working on large-scale data processing and machine learning projects in the financial sector. Built Python data pipelines and automated SAS-to-Python migration workflows using Polars, DuckDB and AWS S3. Analyzed one year of operational data using Python, Pandas and NumPy, and designed scalable data processing workflows handling 500+ GB of datasets. Worked with Linux, Git, SQL, data quality, automation and ML tooling.
Skills
c-plus-plus
ci-cd
data-science
data-viz
git
math
python
english
french
russian
ukrainian