Senior Data Ingestion Engineer (Remote)

Esentia Recursos Humanos; Buenos Aires; Remote; ARS 46,120,000 - 83,017,000; Full time

Job summary

Chevron Global Business Services in Buenos Aires seeks a Data Engineer to design, implement, and maintain automated data pipelines that support scalable data architectures.

You will work with Azure, Databricks, Python/Java and CI/CD practices to move and transform data, enabling data scientists and business teams to derive insights.

This hands-on role requires 5+ years in data engineering and a strong foundation in data modeling, security, and cloud technologies.

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, Azure Synapse, GIT, ADO, Azure Data Lake, Azure Analysis Services, Logic Apps, Microsoft Data Flows, Kimball Data Warehousing Methodology
• Analytical thinking, Consulting, Critical Thinking

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

Skills

Analytical thinking

Consulting

Critical Thinking

Education

BS in Computer Science, MIS, Computer Engineer or related fields

Tools

Azure Data Factory

Databricks

DevOps

CI/CD Pipeline Deployment

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 in Buenos Aires seeks a Data Engineer to design, implement, and maintain automated data pipelines that support scalable data architectures.

You will work with Azure, Databricks, Python/Java and CI/CD practices to move and transform data, enabling data scientists and business teams to derive insights.

This hands-on role requires 5+ years in data engineering and a strong foundation in data modeling, security, and cloud technologies.