Senior .NET Data Engineer - Azure Data Pipelines Lead

Allshore Talent; Quilmes; In loco; ARS 2.500.000 - 4.000.000; Tempo pieno

Vantaggi offerti da questo lavoro

Relocation may be considered

Descrizione del lavoro

Chevron Global Business Services (GBS) in Buenos Aires is hiring a Data Engineer to design and maintain automated data pipelines supporting diverse data types and analytics. You will work with Azure data services, Databricks and Python/Java to ingest, cleanse and prepare data for data products and analytics projects.

The role offers collaboration with ML engineers and cross-functional teams in a multinational environment, with relocation possibility and opportunities to contribute to scalable

Competenze

• BS in Computer Science, MIS, Computer Engineering or related field.
• 5+ years in a Data Engineer role with data pipelines and analytics.
• Experience with Azure data services, Databricks, Python/Java, and CI/CD practices.

Mansioni

• Develop and maintain automated data transformation pipelines.
• Support data ingestion, preparation, and analytics processing.
• Normalize and ingest data from multiple sources for analytics use.
• Collaborate with ML engineers to scale deployable solutions.
• Contribute to internal tools and services development.

Conoscenze

Analytical thinking

Data pipeline design

Cloud fundamentals

Programming basics

Formazione

Bachelor's degree in Computer Science / MIS / Computer Engineering

Strumenti

Azure Data Factory

Databricks

Python

Java

Azure SQL

Azure Synapse

Git / VCS

CI/CD pipelines

Azure Data Lake

Logic Apps

Descrizione del lavoro

Chevron Global Business Services (GBS) in Buenos Aires is hiring a Data Engineer to design and maintain automated data pipelines supporting diverse data types and analytics. You will work with Azure data services, Databricks and Python/Java to ingest, cleanse and prepare data for data products and analytics projects.

The role offers collaboration with ML engineers and cross-functional teams in a multinational environment, with relocation possibility and opportunities to contribute to scalable