Remote Azure Data Engineer - LatAm Analytics

Bluelight Consulting, Llc; Partido de Quilmes; Remote; ARS 106,678,000 - 167,637,000; Full time

Benefits offered by this job

Relocation allowed

Job summary

Chevron Global Business Services in Buenos Aires, Argentina, is hiring a Data Engineer to join the IT Organization and support data availability for analytics and modeling. The role focuses on data ingestion, preparation and storage across multiple sources while enabling data scientists and ML initiatives.

The candidate will work with Azure-based data platforms, build scalable data products, and participate in architecture patterns to deliver business value across the globe.

Qualifications

• BS in Computer Science, MIS, Computer Engineering or related field, or equivalent experience.
• +5 years in Data Engineer role.
• Analytical thinking, consulting, and critical thinking are required.

Responsibilities

• Understand business use of data and stakeholder requirements to support work processes and strategic business objectives.
• Leverage data, software engineering, and data science techniques to create business value through data accessibility, including ingestion, preparation and analytics processing.
• Identify, acquire, cleanse & prepare, store data and develop data products aligned with defined architecture patterns.
• Normalize and ingest data from multiple sources.
• Enable data scientists by making data available for advanced analytics models and contributing to models.
• Collaborate with ML Engineer to scale and deploy solutions including model, documentation, training, and integration.

Skills

Analytical thinking

Consulting

Critical thinking

Education

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

Tools

Azure Data Factory

Databricks

Python

Java

Azure Synapse

Azure SQL

GIT

CI/CD Pipeline Deployment

Azure Data Lake

Job description

Chevron Global Business Services in Buenos Aires, Argentina, is hiring a Data Engineer to join the IT Organization and support data availability for analytics and modeling. The role focuses on data ingestion, preparation and storage across multiple sources while enabling data scientists and ML initiatives.

The candidate will work with Azure-based data platforms, build scalable data products, and participate in architecture patterns to deliver business value across the globe.