L’offerta in breve

Gismart: Data Engineer. Lavoro da remoto internazionale, aperto a candidati in Italia. Contratto: Full-time. Tecnologie indicate: Python, SQL, Redshift, Iceberg, dbt, Airflow, Spark, AWS, Terraform, Tableau.

Responsabilità e requisiti sono riportati nel riepilogo editoriale qui sotto, nella lingua disponibile. Verifica i dettagli nell’annuncio dell’azienda prima di candidarti.

Sul ruolo

Gismart is hiring a full-time Data Engineer for FitMe, its home fitness app. The role develops and supports ETL/ELT pipelines for cohort revenue, lifetime value, retention, creative performance and post-purchase analytics. Responsibilities include investigating dashboard discrepancies, maintaining BI availability, supporting attribution models and integrating marketing, attribution and billing sources.

The position asks for 1-2 years of commercial experience in data engineering, analytics engineering or BI development, plus advanced SQL, production Python and experience with AWS, Amazon Redshift and Apache Airflow. Work includes data quality checks and Redshift query optimization, alongside BI, Product, UA and Billing analysts. The benefits explicitly permit working anywhere worldwide, although the source location is labeled Ukraine.

Highlights

Build pipelines supporting subscription and marketing analytics.
Integrate Meta Marketing API, AppsFlyer, Stripe and other sources.
Terraform, dbt, Spark and Iceberg experience are optional advantages.
Benefits include equipment support, learning funding and paid leave.

Questo recap è un riassunto editoriale di dataskew, non il testo dell'azienda.