Senior AI Data & BI Engineer - Data Pipelines & Analytics

The Ward Law Group; Quilmes; On-site; ARS 64,907,000 - 111,269,000; Full time

Benefits offered by this job

Relocation potential

Job summary

Chevron is seeking a Data Engineer in Buenos Aires to design and maintain automated data pipelines, supporting diverse data types and analytics needs within a global organization.

Applicants should have 5+ years of data engineering experience and hands-on expertise with Azure Data Factory, Databricks, Python, Java, and cloud technologies. Relocation may be considered, and collaboration with IT and data science teams is essential.

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. 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 pipelines

Azure Data Factory

Databricks

Python

Java

CI/CD

Cloud computing

Data governance

Analytical thinking

Education

BS in CS/MIS/CE

Tools

Git

Azure Data Lake

Azure Synapse

Microsoft Data Flows

Logic Apps

Databricks

Job description

Chevron is seeking a Data Engineer in Buenos Aires to design and maintain automated data pipelines, supporting diverse data types and analytics needs within a global organization.

Applicants should have 5+ years of data engineering experience and hands-on expertise with Azure Data Factory, Databricks, Python, Java, and cloud technologies. Relocation may be considered, and collaboration with IT and data science teams is essential.