• Data Architecture: designing data architecture across multiple logical layers; developing logical and physical data models; designing data marts for business intelligence/visualization and self-service data management. • Pipeline Development: developing and maintaining ETL packages in SSIS for Microsoft SQL Server (data loading, transformation, and migration); creating and maintaining DAGs in Apache Airflow for data processing orchestration; executing Python ETL scripts; orchestrating hybrid infrastructure and managing data flows between SQL Server, DWH, and analytics systems. • Communication & Collaboration: building effective communication with various stakeholder groups; developing collaboration workflows in Jira/Confluence. Business Data Analytics: developing dashboards and reports in Apache Superset; creating analytical data marts for business users; optimizing queries for analytics systems.

• Data Storage & Formats: DBMS: PostgreSQL, MySQL/MariaDB; S3-compatible object storage (MinIO); OLAP systems — ClickHouse (required). • Programming Languages: Python (primary), SQL (advanced level). • Orchestration & ETL: Apache Airflow. • Infrastructure & Version Control: Git (GitLab). • BI Systems: Apache Superset, Metabase. • Machine Learning (MLOps): familiarity with the TensorFlow or PyTorch ecosystem, Spark MLlib for integrating ML models into pipelines. • Analytical mindset; attention to detail; proactivity and self-sufficiency; accountability and ability to drive tasks to meaningful results; ability to explain technical decisions to non-technical stakeholders.

• Official employment under the Russian Labor Code (accredited IT company); • Working hours: Monday–Friday, 10:00–19:00; • Benefits package (voluntary health insurance, life insurance, option to insure family members); • Professional development opportunities (individual development program, paid conferences, seminars, etc.); • Foreign language training; • Corporate online library powered by Litres; • Corporate events with out-of-town retreats.