** Position: Engineer (Feature Store)** Company: Fourmi Soft Location: RF Citizenship: RF Format: remote Employment: full-time Registration: STD Salary Range: up to 230,000 net

🏢Fourmi Soft is a company with offices in Russia and Kazakhstan. We create integration products and solutions for our clients worldwide, and also provide project teams for IT project implementation. ❗️❗️❗️To expand our team and work on our partners' projects, we are looking for an Engineer (Feature Store) with 3-6 years of experience.

🟣Tasks: • Implementation of high-load data processing pipelines to ensure reliable and uninterrupted information replication from bank IT systems. • Solving complex data preparation tasks in target analytical storages (DataLake, SandBox, FeatureStore) for forming features necessary for machine learning model development. • Development and updating of documentation for the created functionality. • Timely updating of task statuses in Jira. • Conducting code quality checks (code reviews) written by engineers and junior data specialists. • Creation of ETL projects and Feature Store development.

🟣We are looking for:

1. Python: confident command of data structures and algorithms, effective application of object-oriented and functional programming principles, experience in writing unit and integration tests, as well as knowledge and practical use of libraries for data processing and analysis such as NumPy and Pandas.
2. Experience in developing and implementing services for loading and processing unstructured and semi-structured data (text, XML, JSON) from external sources into industrial operation.
3. Ability to work with data provider APIs, using available documentation to understand their functionality.
4. SQL: ability to create complex queries using analytical window functions and apply profiling tools to optimize query performance, experience working with Oracle, PostgreSQL, and Greenplum databases.
5. Confident knowledge and experience working with tools for development, planning, and monitoring of workflows (workflow engines) for batch data processing, such as Airflow.
6. Experience in developing complex high-load data processing applications based on PySpark, confident understanding of Spark settings and their impact on application performance.

🟣We offer: • fully remote work • interesting projects for major clients • adequate loyal management without bureaucracy.

Learn more and send your resume⬇️ 📩Contacts: @YnochkaKosso Important! Before sending your resume, please ensure it includes the following points:

1. Brief project description
2. Your tasks performed
3. Achievements/results
4. Tech stack
5. Team composition