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Data Scientist for Real-Time Data Processing

1 week ago

Remote, Czech Republic Augmenta Full time

About Augmenta

We are an IT consulting firm specializing in providing digital solutions to businesses across various industries. With a team of experienced professionals and cutting-edge technology, we offer services in strategy and consulting, technology, and operations.

As a Data Engineer at Augmenta, you will be part of our Data Product Engineering team focused on building real-time and batch pricing algorithms that power trading decisions across global markets.

This role involves working with ETL pipelines to load data into Snowflake, ensuring efficient data processing and integration. You will also contribute to testing, debugging, and client support, guaranteeing the reliability of data-driven solutions.

The ideal candidate should have strong experience with Python, NumPy, scikit-learn, SQL, AWS, Linux, and ETL processes. Additionally, familiarity with Apache Kafka, Kubernetes, Prefect, and Snowflake is highly valued.

In this role, you will focus on ETF pricing, developing features and products that enhance market transparency and execution. If you are a skilled Data Engineer looking to contribute to a rapidly growing sector, this is an exciting opportunity to collaborate with industry experts and cutting-edge infrastructure.

Benefits include: