Senior AI-Driven Data Engineer for Marketing Analytics

Speedrun Talent Network

Quilmes

Remoto

ARS 3.000.000 - 6.000.000

Tempo pieno

3 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, seeks a Data Engineer to design, deploy and maintain automated data pipelines that handle diverse data types using Azure and big data tools. You will join a large IT organization delivering services globally.

The role requires strong software engineering practices, 5+ years in data engineering, and experience with cloud-based data architectures, ETL/ELT, and data security. Relocation may be considered.

Competenze

  • BS in Computer Science, MIS, Computer Engineering or equivalent.
  • +5 years as a Data Engineer with hands-on data platform work.
  • Experience with ETL/ELT, big data, cloud data architectures and security.

Mansioni

  • Understand business data needs and stakeholder requirements.
  • Develop data ingestion, prep and analytics processing pipelines.
  • Normalize and ingest data from multiple sources for analysis.
  • Enable data scientists with accessible data and models.
  • Collaborate with ML Engineer to scale and deploy models.
  • Contribute to internal tools and services development.

Conoscenze

Data pipelines
Azure Data Factory
Databricks
Python
Java
CI/CD
DevOps
GIT
Azure SQL
Azure Synapse

Formazione

BS in Computer Science or related field

Strumenti

Ansible
Azure Data Lake
Logic Apps
Microsoft Data Flows
Kimball DW

Descrizione del lavoro

Chevron Global Business Services (GBS) in Buenos Aires, Argentina, seeks a Data Engineer to design, deploy and maintain automated data pipelines that handle diverse data types using Azure and big data tools. You will join a large IT organization delivering services globally.

The role requires strong software engineering practices, 5+ years in data engineering, and experience with cloud-based data architectures, ETL/ELT, and data security. Relocation may be considered.

Ottieni la revisione del curriculum gratis e riservata.

o trascina qui il file.

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