Large DWH based on BigQuery. A lot of tasks are related to configuring semantic layer above the data, adding new columns/views to serve business needs and resolve data issues. There is an AI slack bot which uses DWH data a lot + custom reporting platform.
Qualifications * 3+ years of experience with Python and SQL * Experience working with any reporting system (Looker, Power BI, or Tableau) * In-depth understanding of data modeling * Claude Code — critically important: the client does virtually all the work in it * BigQuery, GCP, Postgres, understanding of main data engineering techniques and principles. * English level: Upper Intermediate or higher.
Will be a plus: * Dataform/dbt/Airflow * Semantic Layer above large DWH, GitHub Actions. Snowflake, AWS
Responsibilities: * Creating and editing SQL views, writing complex SQL queries * Editing and maintaining reports in Looker * Working with Python and JavaScript code * Creating and maintaining CI/CD processes * Improving data retrieval for the AI Slack bot and other target systems * Supporting data replication from PostgreSQL to BigQuery
We offer: * Career and professional development opportunities * Flexible working hours * Hybrid model of cooperation * 20 paid vacations per business year and National Ukrainian holidays; * 5 paid sick leaves * Mentorship program * Referral program with bonus system * Business English courses of all levels * Team parties, company events, and branded presents
