Backend Engineer (Go) - Remote Work | Ref#304730

BairesDev

Buenos Aires

Remote

ARS 92,241,000 - 153,735,000

Full time

2 days ago
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Job summary

Chevron Global Business Services (GBS) in Buenos Aires seeks a Data Engineer to join the IT Organization and build automated data pipelines using Azure data services, Databricks, and Python to enable scalable analytics.

The role requires 5+ years in data engineering, strong SQL, and cloud experience in Azure. Relocation may be considered; expat visas are not sponsored.

Qualifications

  • BS in Computer Science, MIS or related field.
  • 5+ years as a Data Engineer.
  • Experience with Azure Data Factory, Databricks and Azure Synapse.
  • Strong SQL and data modeling skills.
  • Experience with data governance and security best practices.

Responsibilities

  • Understand business data needs to support processes and objectives.
  • Design, build, and maintain automated data pipelines.
  • Collaborate with data scientists and ML engineers to enable analytics.
  • Ensure data quality, governance, and security.

Skills

Azure Data Factory
Databricks
Python
Azure SQL
Azure Synapse
ETL
CI/CD
Git
Azure Data Lake

Education

BS in Computer Science / related field

Tools

Git
Azure DevOps
CI/CD Tools
DevOps

Job description

  • Experience in Serverless Solutions and Azure Integration Deep experience building solutions with Serverless and Azure Integration , including Functions and Logic Apps for event-driven systems.
  • Azure Functions Hands-on expertise in developing serverless computing solutions. Working with triggers (HTTP, Timer, Queue, Event Grid). Utilizing bindings , function apps , scaling strategies, and local development using Azure Functions Core Tools .
  • Azure Logic Apps Extensive experience with iPaaS (Integration Platform as a Service). Building workflows via the visual designer . Leveraging pre-built connectors and integrating diverse applications and data sources. Managing JSON schema definitions for triggers and configuring retry policies .
  • Connecting Serverless Components Strong ability to connect serverless components using Azure Service Bus (for message queuing) and Event Grid (for event routing), building resilient and decoupled architectures.
  • Azure API Management Designing, publishing, and securing APIs, especially those backed by serverless backend services.

6

Migration Engineer

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 include:
+ 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, Azure Synapse, GIT, ADO, Azure Data Lake, Azure Analysis Services, Logic Apps, Microsoft Data Flows, Kimball Data Warehousing Methodology
+ Analytical thinking, Consulting, Critical Thinking
**Relocation Options:**
Relocation **may be** considered.
**International Considerations:**
Expatriate assignments **will not be** considered
**Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position**
Chevron participates in E-Verify in certain locations as required by law.
Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry. Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations. Chevron is based in Houston, Texas. More information about Chevron is available at .
Chevron is an Equal Opportunity / Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability or protected veteran status, or other status protected by law or regulation.

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