Senior Data Engineer: Marketing Analytics & ETL Pipelines

Aesa (A-Evangelista Sa); Quilmes; On-site; ARS 1,500,000 - 2,300,000; Full time

Job summary

Chevron Global Business Services (GBS), located in Buenos Aires (Puerto Madero), Argentina, is seeking a Data Engineer to design and maintain automated data transformation pipelines using a broad set of storage and compute technologies in support of data architecture design. The role reports to the IT Organization within a large global services center.

Responsibilities include data ingestion, preparation, and analytics processing; normalizing and ingesting data from multiple sources; enabling

Qualifications

• BS in Computer Science, MIS, Computer Engineering or related field, or equivalent.

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.
• 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 by making data available for advanced analytics models and supporting model deployment.
• Collaborate with ML engineers to scale and deploy solutions including documentation and training.

Tools

Azure Data Factory

Databricks

DevOps

CI/CD Pipeline

Python

Java

Ansible

Azure SQL

Azure Synapse

Git

ADO

Azure Data Lake

Azure Analysis Services

Logic Apps

Microsoft Data Flows

Kimball Data Warehousing

Job description

Chevron Global Business Services (GBS), located in Buenos Aires (Puerto Madero), Argentina, is seeking a Data Engineer to design and maintain automated data transformation pipelines using a broad set of storage and compute technologies in support of data architecture design. The role reports to the IT Organization within a large global services center.

Responsibilities include data ingestion, preparation, and analytics processing; normalizing and ingesting data from multiple sources; enabling