Senior Data Engineer: Scalable Pipelines & ML Enablement

Fullstack; Quilmes; Remote; ARS 1,800,000 - 3,000,000; Full time

Job summary

Chevron Global Business Services (GBS) in Buenos Aires is seeking a Data Engineer to design, deploy, and maintain automated data transformation pipelines using a mix of storage and compute technologies for scalable data architecture.

The role requires 5+ years in data engineering and hands-on experience with Azure Data Factory, Databricks, Python, and related tools. You will support data ingestion, processing, and analytics while collaborating with data science teams in a global context.

Qualifications

• BS in Computer Science, MIS, 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; 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. Includes data ingestion, data preparation and analytics processing.
• 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
• Contributing to the inner source development of foundational tools, and/or the deployment of technical services.

Skills

Data integration

Azure Data Factory

Python

Databricks

CI/CD

Big data

Cloud computing

Data warehousing

Education

BS in Computer Science / MIS / CS or related fields

Tools

Azure Data Factory

Databricks

Python

SQL

Azure Synapse

Git

Azure Data Lake

Logic Apps

CI/CD pipelines

Job description

Chevron Global Business Services (GBS) in Buenos Aires is seeking a Data Engineer to design, deploy, and maintain automated data transformation pipelines using a mix of storage and compute technologies for scalable data architecture.

The role requires 5+ years in data engineering and hands-on experience with Azure Data Factory, Databricks, Python, and related tools. You will support data ingestion, processing, and analytics while collaborating with data science teams in a global context.