TL;DR

Senior Data Engineer (Data Science): Designing, building, and maintaining data warehouses for Data Science and ML tasks with an accent on ETL/ELT processes and data quality monitoring. Focus on optimizing data storage and processing historical data while collaborating with the Data Science team.

Компания

Островок — аккредитованная IT-компания.

What you will do

Design and maintain data warehouses for Data Science and ML tasks.
Set up and support ETL/ELT processes.
Monitor and improve data quality.
Optimize storage and processing of historical data.
Collaborate with the Data Science team to formalize and gather technical requirements.
Support and develop data architecture.

Requirements

4+ years of experience as a Data Engineer, including ML/DS projects.
Deep knowledge of data storage and architecture for ML solutions.
Practical experience with DBT, Airflow, Trino.
Good knowledge of Python and SQL.
Experience with GIT and Docker.
Skills in Hadoop ecosystem: HDFS, Hive, Spark.
Experience in setting up ETL process monitoring systems.
Conversational English at B1 level.