Senior Databricks Data Engineer
Sopra Steria
ppIn questo ruolo, integrerai il centro di competenza Data Engineering per progettare architetture dati moderne e robuste. Lavorerai a stretto contatto con Data Scientist e Data Architect per garantire pipeline scalabili e performanti su ambienti Cloud (Azure/AWS/GCP). Guidando design e gestione di architetture Medallion e Delta Lake, risolverai colli di bottiglia e assicurerai qualità e governance dei dati in contesti Batch e Streaming. L’opportunità ti permette di operare in progetti internazionali in un contesto di innovazione tecnologica orientato al business, contribuendo significativamente alla trasformazione digitale dei clienti. /ppbRetribuzione / Benefits /b /pulliRAL tra 33.000 e 40.000 /lilitrasferte nazionali e internazionali /liliambiente dinamico e progetti nazionali/internazionali /liliopportunità di crescita professionale /li /ulpbResponsabilità /b /pulliProgettare, sviluppare e implementare pipeline di dati scalabili /liliOttimizzare carichi di lavoro in collaborazione con Data Scientist e Data Architect /liliGuidare design dell’architettura Medallion (Bronze/Silver/Gold) e gestione Delta Lake /liliGarantire data quality e risoluzione di colli di bottiglia in scenari batch e streaming /liliSviluppare pipeline ETL/ELT con Apache Spark (PySpark, Spark SQL, Scala) /liliGestire Data Lakehouse con partizionamento e indexing per performance /liliCollaborare con ML e Power BI durante l’esposizione di dataset /liliAutomatizzare workflow con Databricks Jobs, CI/CD e monitoraggio qualità dati /li /ulpbRequisiti fondamentali /b /pulliApache Spark /liliAlmeno 2 anni di esperienza su servizi cloud Microsoft Azure /liliEsperto in data ingestion sia batch che streaming, focus su performance e qualità del dato /liliCollaborazione cross-funzionale /liliOrientamento alla qualità del dato /liliApache Spark /li /ul /p #J-18808-Ljbffr
Offerta di lavoro pubblicata 1 giorno fa
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