Position: Middle Data Engineer
Company: Machine. Factor Technologies
Category: Data Science
Experience required: 1y
English level: upper

**Responsibilities**:

—Processing and storing high-volume financial datasets.
—Creating ETL pipelines using AWS/internal tools.
—Preprocessing data for our research and development team.
—Be part of the team responsible for real-time trading implementation. 

**Hard Requirements**:

— Good understanding of analytics, data pipelines and data transformation
— 2+ years experience with **Python**.
— Proficiency with **Pandas and Numpy**.
— Proficiency with **SQL and columnar databases**.
— Experience in **Linux development (bash, cron)**.
— Experience with AWS or any other cloud computing platform (Digital Ocean, GCP, Azure).
— Experience with **Apache Spark/Airflow**.


— Hands-on experience working with big data.
— Knowledge of statistics.
— Fluent English (At least Upper-Intermediate level).

**Soft requirements**:
— Experience in financial field.
— Experience with Apache Kafka