Data Engineer
At a glance
Mid-level Data Engineering role at Chevron Corporation. Buenos Aires · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain automated pipelines that transform varied data types and volumes across storage and computing systems
- Clarify how teams use data and what stakeholders need, then shape work around business processes and objectives
- Acquire, clean, validate, store and combine data from multiple sources into products that follow architecture patterns
- Prepare data for advanced analytics, support data scientists and help machine-learning engineers deploy solutions
- Contribute to shared foundational tools and the rollout of technical services
What you bring
- At least five years working as a data engineer
- A computer science, information systems or computer engineering degree, or equivalent experience
- Experience with data preparation, validation and movement, analytics architecture, big data or cloud computing
- Knowledge of data architecture, security and software engineering, including Python or another listed tool
Who this fits
This mid-level role suits someone who can apply software engineering to data pipelines and support analytics and machine-learning work. The job is based in Puerto Madero, Buenos Aires. Relocation may be considered, but employment visa sponsorship and applicants with time-limited visa status are not accepted.
From the employer
GBS Chevron Global Business Services (GBS), located in Buenos Aires (Puerto Madero), Argentina, is accepting applications for the position of Data Engineer. Successful candidates will join the IT Organization, which is part of a multifunction service and technical center with a workforce of more than 1800 employees that deliver business services and solutions to the corporation across the globe.
Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design.
Responsibilities include:
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.
Required 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
Relocation Options:
Relocation may be considered.
International Considerations:
Expatriate assignments will not be considered
Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position
Chevron participates in E-Verify in certain locations as required by law.
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