Senior Data Engineer: Marketing Analytics & Bigquery Etl

Aesa (A-Evangelista Sa); Buenos Aires; On-site; ARS 90,836,000 - 151,394,000; Full time

Job summary

GBS Chevron Global Business Services (GBS), located in Buenos Aires, Argentina, is hiring a Data Engineer to design, deploy and maintain automated data transformation pipelines supporting data architecture initiatives.

The role requires 5+ years in data engineering and hands-on experience with Azure Data Factory, Databricks, and cloud-based architectures. Collaboration with ML engineers and data scientists is essential in a multinational environment.

Qualifications

• BS in Computer Science, MIS, Computer Engineering or related field, or equivalent experience.
• +5 years in Data Engineer role.
• Experience with data acquisition, preparation, validation; data movement and transformation; analytics solution architecture; big data computing; cloud computing; core data architecture; information security technologies; software engineering using Azure Data Factory (ETL), Databricks, DevOps, CI/CD, Python, Java, Ansible, Azure SQL.

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 including ingestion, 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 engineering

Python

Java

Azure Data Factory

Databricks

CI/CD

Ansible

Azure SQL

Cloud computing

Education

BS in Computer Science/MIS/CS Engineering or related field

Tools

Azure Data Factory

Databricks

Azure SQL

Job description

Buenos Aires, Buenos Aires, Argentina
Full time
R

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.

Job Description

**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

• 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