Chevron Australia is seeking a Data Engineer for its Buenos Aires office to develop and maintain automated data transformation pipelines. The ideal candidate will have a strong background in data engineering and software development, focusing on leveraging data for business value
Job Summary
The role involves utilizing software engineering principles to deploy fully automated data transformation pipelines supporting global business objectives.
Candidates will be responsible for normalizing and ingesting data from multiple sources to enable advanced analytics models for data scientists.
Successful applicants will collaborate with ML Engineers to scale solutions and contribute to the development of foundational technical tools.
Matching Summary
Match Score: 85
Chevron Australia is seeking a Data Engineer for its Buenos Aires office to develop and maintain automated data transformation pipelines. The ideal candidate will have a strong background in data engineering and software development, focusing on leveraging data for business value.
Skills & Requirements
Must-have
Azure Data Factory ETL experience
Databricks big data computing
Python and Java programming
CI/CD pipeline deployment
Azure SQL and Synapse knowledge
Data ingestion and normalization
Kimball Data Warehousing methodology
Nice-to-have
Machine learning model scaling
Inner source development contribution
Strong analytical thinking skills
Consulting and critical thinking
Experience with Logic Apps
Key Requirements
BS in Computer Science or related field
Plus 5 years in Data Engineer Role
No visa sponsorship available
Expatriate assignments not considered
Work Rights
Must have valid work authorization for Argentina; no visa sponsorship provided