Senior Data Engineer: Azure, Databricks, SQL & Power BI

Deep.Bi

Quilmes

In loco

ARS 1.200.000 - 2.000.000

Tempo pieno

2 giorni fa
Candidati tra i primi

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Relocation may be considered

Descrizione del lavoro

Chevron Global Business Services (GBS) in Buenos Aires, Argentina, is hiring a Data Engineer to join a large IT organization delivering services worldwide. You will deploy automated data pipelines using Azure and other cloud technologies, enabling data availability for analytics and data science teams.

Ideal candidates have 5+ years in data engineering, strong SQL and cloud skills, and the ability to work with ML engineers to scale models. Relocation may be considered.

Competenze

  • BS in Computer Science or related field.
  • +5 years in Data Engineer role.
  • Experience with Azure Data Factory, Databricks, and cloud data architectures.
  • Strong analytical and problem-solving skills.

Mansioni

  • Understand business data needs and support processes and objectives.
  • Leverage data engineering and analytics techniques to enable data accessibility.
  • Ingest, prepare, and transform data following defined architecture patterns.
  • Normalize and ingest data from multiple sources.
  • Collaborate with ML Engineers to scale and deploy data solutions.

Conoscenze

Data engineering
Azure Data Factory
Databricks
Python
Java
CI/CD
Azure Synapse
Azure Data Lake

Formazione

BS in Computer Science or related field

Strumenti

Azure Data Factory
Databricks
CI/CD
Python
Java
Azure SQL
Azure Synapse

Descrizione del lavoro

Chevron Global Business Services (GBS) in Buenos Aires, Argentina, is hiring a Data Engineer to join a large IT organization delivering services worldwide. You will deploy automated data pipelines using Azure and other cloud technologies, enabling data availability for analytics and data science teams.

Ideal candidates have 5+ years in data engineering, strong SQL and cloud skills, and the ability to work with ML engineers to scale models. Relocation may be considered.

Ottieni la revisione del curriculum gratis e riservata.

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