Senior GCP Data Engineer — Data Pipelines & Analytics

Caramel Point

Buenos Aires

Remote

ARS 1,800,000 - 3,000,000

Full time

7 days ago
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Job summary

Chevron Global Business Services (GBS) in Buenos Aires is hiring a Data Engineer to design and maintain automated data transformation pipelines. You will join a multinational IT organization delivering services across the globe and supporting data architecture initiatives.

The role requires 5+ years of data engineering experience, strong knowledge of Azure data tools, Python/Java, and a passion for data quality and security. This is a full-time position based in Buenos Aires.

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
  • Contributing to the inner source development of foundational tools, and/or the deployment of technical services.

Skills

Python
Java
Ansible
Azure Data Factory
Databricks
Azure Synapse
CI/CD
GIT
Azure SQL
Data Lake
Data Warehousing

Education

BS in Computer Science or related field

Tools

Azure Data Factory
Databricks
Azure Synapse
Azure SQL
Git
Azure DevOps

Job description

Chevron Global Business Services (GBS) in Buenos Aires is hiring a Data Engineer to design and maintain automated data transformation pipelines. You will join a multinational IT organization delivering services across the globe and supporting data architecture initiatives.

The role requires 5+ years of data engineering experience, strong knowledge of Azure data tools, Python/Java, and a passion for data quality and security. This is a full-time position based in Buenos Aires.

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