Data Engineer: Analytics Pipelines & Power BI

Mercor; Quilmes; In loco; ARS 92.724.000 - 139.086.000; Tempo pieno

Descrizione del lavoro

Chevron Global Business Services (GBS) in Buenos Aires, Argentina, seeks a Data Engineer to design and maintain automated data pipelines using Azure, Databricks and related technologies. You will support data accessibility, build data products, and collaborate with ML engineers to deploy scalable analytics solutions.

Requirements include a BS in a related field and 5+ years in data engineering, with strong experience in Azure data technologies, Python/Java, and data warehousing methodologies.

Competenze

• BS in Computer Science, MIS, Computer Engineering or related field; equivalent experience.
• 5+ years in Data Engineer role.
• Experience with ETL/ELT, big data, cloud architectures and data warehousing.
• Analytical thinking, consulting and critical thinking required.

Mansioni

• Understand business data usage and stakeholder requirements for processes.
• Leverage data, software engineering and data science techniques to create business value.
• Identify, acquire, cleanse and prepare data; develop data products aligned with architecture.
• Normalize and ingest data from multiple sources.
• Enable data scientists by making data available for analytics models.
• Collaborate with ML engineers to scale and deploy solutions.

Conoscenze

Azure Data Factory

Databricks

DevOps

CI/CD

Python

Java

Ansible

Azure SQL

Azure Synapse

Git

Azure DevOps

Azure Data Lake

Azure Analysis Services

Logic Apps

Data Flows

Kimball DW

Formazione

BS in Computer Science or related field

Descrizione del lavoro

Chevron Global Business Services (GBS) in Buenos Aires, Argentina, seeks a Data Engineer to design and maintain automated data pipelines using Azure, Databricks and related technologies. You will support data accessibility, build data products, and collaborate with ML engineers to deploy scalable analytics solutions.

Requirements include a BS in a related field and 5+ years in data engineering, with strong experience in Azure data technologies, Python/Java, and data warehousing methodologies.