Remote Senior Data Engineer - BigQuery, dbt, Azure

Lateral Group; Quilmes; Remote; ARS 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Relocation assistance (possible)

Job summary

Chevron Global Services (Argentina) in Buenos Aires is seeking a highly skilled Data Engineer to design and maintain automated data pipelines that support data architecture and analytics across global services.

You will work with Azure Data Factory, Databricks and Python/Java to ingest, transform and prepare data, enabling data scientists and analytics teams while contributing to foundational tools and scalable services.

Qualifications

• BS in Computer Science, MIS, Computer Engineer or related fields or equivalent experience.
• +5 years in Data Engineer role.
• Experience with Azure Data Factory, Databricks, Python/Java and cloud data architectures.

Responsibilities

• Understand business use of data and stakeholder requirements to support work processes and strategic objectives.
• Leverage data engineering and data science techniques to enable data accessibility and analytics processing.
• Identify, acquire, cleanse & prepare, store data and develop data products aligned with architecture patterns.
• Normalize and ingest data from multiple sources and make it available for analytics and ML teams.
• Collaborate with ML Engineers to scale and deploy models and document solutions.
• Contribute to internal tooling and deployment of technical services.

Skills

Analytical thinking

Stakeholder requirements

Problem solving

Education

BS in Computer Science, MIS, Computer Engineer or related fields

Tools

Azure Data Factory

Databricks

Python

Java

Azure SQL

Azure Synapse

Git

Azure Data Lake

Logic Apps

Microsoft Data Flows

Job description

Chevron Global Services (Argentina) in Buenos Aires is seeking a highly skilled Data Engineer to design and maintain automated data pipelines that support data architecture and analytics across global services.

You will work with Azure Data Factory, Databricks and Python/Java to ingest, transform and prepare data, enabling data scientists and analytics teams while contributing to foundational tools and scalable services.