Mid/Senior Data Engineer (English)

4-6+ years of experience as a Data Engineer. Strong SQL and solid Python skills (pandas/PySpark is a plus). Hands-on experience with modern data warehouses: BigQuery, Snowflake, or Redshift. Experience building production ETL/ELT pipelines using Airflow, Prefect, Dagster, dbt, or similar tools. Strong understanding of data modeling (star/snowflake schemas, SCD, event modeling). Experience with cloud platforms (GCP/AWS/Azure) and basic infra (Docker, CI/CD). Good instincts for data quality, observability, and distributed system failure modes. Clear communication and ability to collaborate across technical and non-technical teams. Nice to have: Experience with retail/fashion/e-commerce data: inventory, sales, returns, promotions. Exposure to forecasting, time-series modeling, or ML pipelines. Startup experience, especially in early-stage environments. Familiarity with modern ELT stacks: Fivetran, Airbyte, or custom connectors. Experience building data products for analytics dashboards or embedded BI.