Remote Senior Data Engineer - Data Pipelines & Analytics

Arionkoder; Quilmes; Remoto; ARS 92.724.000 - 154.540.000; Tempo pieno

Vantaggi offerti da questo lavoro

Relocation assistance

Descrizione del lavoro

Chevron Global Business Services (GBS) in Buenos Aires’ Puerto Madero is hiring a Data Engineer. You will design and maintain automated data pipelines and work across Azure-based tools to support data architecture and analytics.

Ideal candidates have 5+ years in data engineering, strong SQL/ETL, and hands-on experience with cloud data platforms and DevOps practices. Relocation may be considered; E-Verify may apply where required.

Competenze

• BS in Computer Science, MIS, Computer Engineering or related field or equivalent experience.
• +5 years in Data Engineer role.
• Knowledge of data acquisition, preparation and validation; data movement and transformation; analytics solution architecture; big data computing; cloud computing; information security and software engineering with Azure/Data Factory, Databricks, Python/Java, Git, Synapse, Data Lake.

Mansioni

• Understand business use of data and stakeholder requirements to support processes and objectives.
• Leverage data, software engineering, and data science techniques to enable data accessibility for analytics.
• Normalize and ingest data from multiple sources and develop data products.
• Collaborate with ML engineers to scale and deploy models and ensure data availability.
• Contribute to inner-source tools and deployment of technical services.

Conoscenze

Data engineering

Big data

Cloud

Python

Java

Azure

CI/CD

Formazione

BS in Computer Science

Strumenti

Azure Data Factory

Databricks

Azure SQL

Azure Synapse

Git

Azure Data Lake

Logic Apps

Microsoft Data Flows

Descrizione del lavoro

Chevron Global Business Services (GBS) in Buenos Aires’ Puerto Madero is hiring a Data Engineer. You will design and maintain automated data pipelines and work across Azure-based tools to support data architecture and analytics.

Ideal candidates have 5+ years in data engineering, strong SQL/ETL, and hands-on experience with cloud data platforms and DevOps practices. Relocation may be considered; E-Verify may apply where required.