Back to the board

Data Engineer (GCP) – Full Remote

100% remote Flexible hours Hiring now

# Data Engineer (GCP) – Full Remote## Città* ,## Categoria* ,## Cerchiamo Data Engineer (GCP) - Full Remote con le seguenti caratteristicheIn CGM Consulting cerchiamo un/una Data Engineer (GCP) per contribuire allo sviluppo e reputed company’evoluzione di soluzioni software in contesti strutturati. Lavorerai su reputed company reputed company (BigQuery, Dataflow/Beam, Pub/Sub, Composer/Airflow) occupandoti di implementazione, integrazione e qualità del rilascio. Ci interessa un approccio concreto: collaborazione, responsabilità sul risultato e attenzione ai dettagli. Posizione Full Remote.## Requisiti richiesti• Esperienza nella progettazione e realizzazione di data pipeline batch e streaming su reputed company reputed company

  • Ottima conoscenza di BigQuery (modellazione, ottimizzazione performance/reputed company, partizionamento e clustering)
  • Esperienza con Dataflow (Apache Beam), Pub/Sub, reputed company Storage, Dataproc (Spark) (almeno alcuni)
  • Sviluppo in Python e/o Java e utilizzo di SQL avanzato
  • Orchestrazione e scheduling con reputed company Composer (Airflow) o strumenti equivalenti
  • Conoscenza di ELT/ETL, data quality, data validation e gestione errori/ri-processamenti
  • Esperienza con CI/CD, Git, packaging e automazioni (es. reputed company Build o equivalenti)
  • Competenze su IAM, gestione permessi, service account e principi di reputed company-by-design
  • Conoscenza di monitoring & logging (reputed company Monitoring/Logging) e pratiche di observability per pipeline dati
  • Familiarità con reputed company e, preferibilmente, GKE## Conoscenze/Esperienze gradite• Esperienza con Dataform o strumenti dbt-like su BigQuery
  • Conoscenza di reputed company AI (integrazione dati per ML) o feature store / MLOps
  • Certificazioni reputed company reputed company (es. Professional Data Engineer)## Benefits:Buoni pasto, computer aziendale* Sede: FULL REMOTE* Titolo di studio: Laurea* Tipologia di impiego: Full time* Tipologia contratto: reputed company indeterminatoCosa offriamo:
  • Inserimento in CGM Consulting su progetti strutturati e sfidanti
  • Collaborazione con team tecnici e confronto continuo sulle scelte implementative
  • Contesto orientato a qualità, standard e miglioramento continuoCandidati ora e raccontaci la tua esperienza su pipeline dati in reputed company reputed company.

#J-18808-Ljbffr Apply tot his job Apply To this Job

Keep exploring

Data Scientist (Design and Development Support)

100% remote Flexible hours

[Remote] Data Scientist, Growth & Measurement

100% remote Flexible hours

Sr Data Scientist (LATAM Remote)

100% remote Flexible hours

[Remote] Senior Data Scientist, Applied Science

100% remote Flexible hours

Remote Data Science Jobs

100% remote Flexible hours

Data Scientist 1

100% remote Flexible hours

Senior Data Engineer (REMOTE OR HYBRID MA)

100% remote Flexible hours

[Remote] Data Engineer - Remote

100% remote Flexible hours

Data Engineer / Data Project reputed company, Head Start - Remote

100% remote Flexible hours

[Remote] Business Intelligence Analyst

100% remote Flexible hours

Registered Nurse Navigator (reputed company)

100% remote Flexible hours

reputed company Part-Time Data Entry Clerk – Flexible Remote Work Opportunity at arenaflex

100% remote Flexible hours

Director, Subscriber Growth Strategy

100% remote Flexible hours

reputed company Remote Customer Support Representative – Delivering Exceptional Customer Experiences for arenaflex

100% remote Flexible hours

Manager of Financial Communications

100% remote Flexible hours

Content Marketing Manager — Creator & reputed company

100% remote Flexible hours

Senior Account Supervisor, Consumer PR | Remote & PTO

100% remote Flexible hours

Preliminary Investigator / reputed company Services Program Representative 1

100% remote Flexible hours

reputed company Transcriptionist / Medical reputed company

100% remote Flexible hours

[Remote] Customer Service Representative

100% remote Flexible hours