Job Details

Data Engineer at OZON focusing on the quality of pick-up points. Responsibilities include building and supporting ETL/pipelines, developing a service model for analysts, and improving reliability. Tech stack: Apache Airflow, SQL, Python, Spark, ClickHouse, Kafka, Git, Docker, Hadoop.

Building and supporting ETL/pipelines: - Development, optimization, and monitoring to ensure data delivery. Developing a service model for analysts: - Providing high-quality, documented, and up-to-date data through data marts and automation tools, reducing time spent on routine requests. Improving reliability and transparency: - Assisting in the implementation of unified standards for testing, monitoring, and alerting for all data processes.

Knowledge of SQL (CTE, window functions, query optimization). Basic skills in profiling and optimizing SQL queries (reading explain plans, understanding indexes). Understanding of ETL/ELT pipeline construction principles and experience with Apache Airflow. Basic Python knowledge for data processing (Pandas, PySpark). Experience with Git. Understanding of distributed systems concepts and big data processing (Spark, Kafka, Hadoop architecture).