Middle Python Engineer

#вакансия #position #python #dataengineering #middle #fulltime #ETL #C++

Position: Python Engineer
Location: CIS (not Russia)
Format: Hybrid
Company: FinTech
Salary: $6,500 gross up + bonuses

The position involves full-time work from the company's office in the CIS
Task:
• Automate the work by Quantitative Researchers. This role does not involve the development or implementation of quantitative algorithms.

During Your Time with Us, You May:
• Enhance research workflows by automating processes, refining implementations, and optimizing model deployment for Quantitative Researchers (primarily using Python).
• Maintain and support production code by managing dependencies, resolving data gaps, setting up timely alerts, and ensuring comprehensive logging (primarily in Python).
• Design and implement ETL pipelines to process diverse datasets efficiently.
• Develop unit and integration tests using frameworks like googletest, pytest, and unittest.mock.
• Contribute to the development and enhancement of research libraries, primarily in C++.
• Conduct code reviews for both C++ and Python projects.

Key Qualifications
• A minimum of 3 years of experience as a Software Engineer at a top-tier company, with Python as the primary programming language.
• Bachelor's, Master's or Ph.D. degree in Computer Science from one of the top universities (MSU, MIPT, HSE, ITMO, SPbU) or other international top universities.
• Proficiency in C++.
• Experience in developing Python libraries for quantitative researchers.
• Solid understanding of the operational, maintenance, monitoring, and support requirements of critical business systems.
• Proactive approach to identifying inefficiencies, bottlenecks, and opportunities to improve workflows and software performance.
• Hands-on experience with software workflows, testing, and deployment methodologies in highly agile environments.
• English and Russian language level B2.

Preferred Expertise
- Workflow orchestration & data pipelines: Airflow, Prefect, Dagster; ETL/ELT (Pandas, Dask, Spark, Parquet)
- Scientific & high-performance Python: NumPy, SciPy, Cython; C++ integration
- Data modeling & validation: dataclasses, Pydantic
- Static analysis & code quality: Ruff, Pylint, Mypy, Pyright, Flake8
- Performance profiling & optimization: CPU, memory, filesystem
- CI/CD & DevOps: GitHub Actions, GitLab CI, Jenkins
- Observability & monitoring: Prometheus, VictoriaMetrics, InfluxDB, Grafana, Sentry, ELK
- Cloud platforms: AWS, GCS

Perks & Benefits
• A supportive and inclusive work environment with a diverse team of top professionals from various industries.
• Wellness stipend to promote a healthy lifestyle.
• Comprehensive medical coverage.
• Insurance for personal accidents and critical illnesses.
• Assistance for caregivers, including emergency dependent care options.
• Office-provided meals.
• Relocation assistance for candidates moving from outside.

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