About this role
Data Engineer (DI Fashion, Decision Intelligence Team) at eMAG. Location: Bucharest, Bucharest, Romania. Role: developing applications, orchestrating assets, optimizing reports Requirements: Strong SQL and Spark knowledge, Python/PySpark programming, Git experience, unit/integration/data testing, Unix CLI proficiency, reporting tools experience, and data warehouse/lakehouse familiarity. Category: Data and Analytics Seniority: Mid Level Tools: Python, PySpark, SQL, Jupyter, Gitlab, Apache Airflow, Apache Iceberg, dbt, Looker, Power BI, Tableau, Impala, Dremio, Unix Commitment: Full Time Workplace: Hybrid Languages: English