Cloud Data Engineer — Serverless Pipelines & Azure

Proofpoint; Quilmes; On-site; ARS 108,178,000 - 169,994,000; Full time

Benefits offered by this job

Mentorship

Tech Talks

Growth roadmaps

Education budget

Flexitime

Job summary

Chevron Global Business Services (GBS) in Buenos Aires, Argentina, is seeking a Data Engineer to design, build, and optimize scalable data infrastructure powering BI, analytics, and ML initiatives. You will develop reliable data pipelines, integrate third-party platforms, and transform raw data into actionable insights with automation and visualization.

The role requires strong SQL, Python, and cloud data warehouse experience. Relocation may be considered; expatriate assignments are not.

Qualifications

• BS in Computer Science, Management Information Systems, Computer Engineer or related fields or equivalent experience.
• +5 years in Data Engineer Role.
• Knowledge and/or experience with data acquisition, preparation and validation; data movement and transformation; analytics solution architecture; big data computing; cloud computing, core data architecture; information security technologies and software engineering using technologies such as: Azure Data Factory (ETL), 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 Methodology
• Analytical thinking, Consulting, Critical Thinking

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.
• Identify, acquire, cleanse & prepare, store data and develop data products aligned with defined architecture patterns.
• Responsible for normalizing and ingesting data from multiple sources.
• Enable data scientists, making data available for advanced analytics models, and contributing to models.
• Work with ML Engineer to scale and deploy solution including model, documentation, training, integration.

Skills

Analytical thinking

Consulting

Critical thinking

Data engineering

SQL

Education

BS in Computer Science or related field

Tools

Azure Data Factory

Databricks

Python

Azure Synapse

SQL

Git / CI/CD

Job description

Chevron Global Business Services (GBS) in Buenos Aires, Argentina, is seeking a Data Engineer to design, build, and optimize scalable data infrastructure powering BI, analytics, and ML initiatives. You will develop reliable data pipelines, integrate third-party platforms, and transform raw data into actionable insights with automation and visualization.

The role requires strong SQL, Python, and cloud data warehouse experience. Relocation may be considered; expatriate assignments are not.