Remote BI & SQL Data Engineer: Automate & Analyze Data

Tuxcare Inc.; Buenos Aires; Remoto; ARS 1.800.000 - 3.000.000; Tempo pieno

Descrizione del lavoro

Chevron Global Business Services (GBS) in Buenos Aires is seeking a Data Engineer to design and maintain automated data transformation pipelines. The role supports data architecture, data accessibility, and analytics across a global organization.

The ideal candidate has 5+ years in data engineering, strong experience with Azure Data Factory, Databricks, Python/Java, and cloud-based data platforms. Relocation may be considered; visa sponsorship is not offered.

Competenze

• BS in Computer Science, MIS, Computer Engineering or related fields or equivalent experience.
• +5 years in Data Engineer role.
• Experience with data acquisition, preparation, validation, movement and transformation; analytics solution architecture; big data computing; cloud computing.
• Proficiency in Azure Data Factory, Databricks, Python/Java, and related devops tools.

Mansioni

• Understand business use of data and stakeholder requirements to support work processes and strategic objectives.
• Leverage data engineering, data science techniques to create business value through data accessibility including ingestion and analytics processing.
• Identify, acquire, cleanse & prepare, store data; develop data products aligned with architecture patterns.
• Normalize and ingest data from multiple sources; enable data scientists and scale ML solutions with engineers.

Conoscenze

Analytical thinking

Consulting

Critical thinking

Formazione

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

Strumenti

Azure Data Factory

Databricks

DevOps

CI/CD Pipeline Deployment

Python

Java

Ansible

Azure SQL

Azure Synapse

Git

ADO

Azure Data Lake

Azure Analysis Services

Logic Apps

Microsoft Data Flows

Kimball Data Warehousing

Descrizione del lavoro

Chevron Global Business Services (GBS) in Buenos Aires is seeking a Data Engineer to design and maintain automated data transformation pipelines. The role supports data architecture, data accessibility, and analytics across a global organization.

The ideal candidate has 5+ years in data engineering, strong experience with Azure Data Factory, Databricks, Python/Java, and cloud-based data platforms. Relocation may be considered; visa sponsorship is not offered.