Remote Data Engineer: Pipelines & Analytics

Outlier; Quilmes; Remoto; ARS 1.800.000 - 3.600.000; Tempo pieno

Descrizione del lavoro

Chevron Global Business Services (GBS) in Buenos Aires, Argentina, is seeking a Data Engineer to design and maintain automated data pipelines. The role sits in IT and supports data architecture across global operations.

Responsibilities include data ingestion, preparation, analytics processing, and enabling data scientists. You\u2019ll work with Azure, Databricks, Python/Java, and collaborate with ML engineers to deploy scalable solutions. Relocation may be considered.

Competenze

• BS in Computer Science, MIS, Computer Engineering or related fields or equivalent experience.
• +5 years in Data Engineer role.
• Experience with ETL/ELT, data movement, and analytics solution architecture.
• Hands-on with Azure Data Factory, Databricks, DevOps/CI-CD, Python/Java, Ansible, Azure SQL and Synapse.
• Knowledge of data warehousing and security technologies.

Mansioni

• Understand business data use and stakeholder requirements.
• Develop data pipelines for ingestion, preparation and analytics.
• Ingest, cleanse, and store data from multiple sources.
• Enable data scientists by providing accessible data for analytics.
• Collaborate with ML engineers to deploy data solutions.
• Contribute to foundational data tooling and services.
• Design and optimize data warehouse performance and BI reporting.

Conoscenze

Azure Data Factory

Databricks

Python

Java

Azure SQL

Azure Synapse

Git

Azure DevOps

Ansible

CI/CD Pipeline Deployment

Formazione

BS in Computer Science / MIS / Computer Engineering or related fields

Strumenti

Azure DevOps

Ansible

Microsoft Data Flows

Logic Apps

Kimball Data Warehousing Methodology

Descrizione del lavoro

Chevron Global Business Services (GBS) in Buenos Aires, Argentina, is seeking a Data Engineer to design and maintain automated data pipelines. The role sits in IT and supports data architecture across global operations.

Responsibilities include data ingestion, preparation, analytics processing, and enabling data scientists. You\u2019ll work with Azure, Databricks, Python/Java, and collaborate with ML engineers to deploy scalable solutions. Relocation may be considered.