Data Engineer
Location:
Buenos Aires, Capital Federal, AR, C1107CBE
Company:
ExxonMobil Business Support Center Argentina S.R.L
Job Group Capability
Data Science, Digital & Analytics
Job Group
Data Management
Job Role Description
The Data Engineer - Advanced is responsible for designing, implementing, and maintaining complex data pipelines and architectures. This role involves working with large-scale data platforms, ensuring data quality, and optimizing data flow and collection for cross-functional teams
Job Role Responsibilities
- Develops, maintains and documents physical data models, data dictionaries and data flow diagrams
- Leads and participates in gathering complex and often unique business requirements by defining the business problem and data requirements
- Reinforces the value and use of data to business subject matter experts
- Stay up-to-date with the latest technologies and trends in data engineering and apply them to improve existing data pipelines
- Optimize data delivery and automate manual processes to improve efficiency and reliability
- Assists data scientists in integrating diverse datasets for machine learning, and deep learning models
- Integrates standards for platforms and frameworks for source code management, work item and project tracking, DevOps and enterprise architecture
- Build large-scale batch and / or real-time data pipelines with data processing frameworks in cloud platforms and / or on-premises
- Manages and secure the flow of structured and unstructured data from multiple sources
- Lead and mentor Data Engineers - Associate, providing guidance and support in their professional development
Design and implement solutions for real-time data processing and streaming
- Leads and participates in gathering complex and often unique business requirements by defining the business problem and data requirements
- Reinforces the value and use of data to business subject matter experts
- Stay up-to-date with the latest technologies and trends in data engineering and apply them to improve existing data pipelines
- Optimize data delivery and automate manual processes to improve efficiency and reliability
- Assists data scientists in integrating diverse datasets for machine learning, and deep learning models
- Integrates standards for platforms and frameworks for source code management, work item and project tracking, DevOps and enterprise architecture
- Build large-scale batch and / or real-time data pipelines with data processing frameworks in cloud platforms and / or on-premises
- Manages and secure the flow of structured and unstructured data from multiple sources
- Lead and mentor Data Engineers - Associate, providing guidance and support in their professional development
Design and implement solutions for real-time data processing and streaming
Functional Skills
Applied Software Engineering for Data
Data Architecture & Strategy
Data Integration
Data Management
Data Visualization
Data Modeling
Machine Learning
Job Segment:
Information Technology, IT Architecture, Database, Cloud, Software Engineer, Technology, Engineering