Senior Hr Data Engineer | Snowflake, Dbt & Ai Pipelines

Atomic Hr; Quilmes; On-site; ARS 1,200,000 - 1,800,000; Full time

Job summary

Chevron Global Business Services (GBS) in Buenos Aires is hiring a Data Engineer to build and maintain automated data pipelines and data products. You will work with cloud data platforms to handle diverse data types and volumes, aligning with data architecture design.

Responsibilities include ingesting, preparing, and validating data, enabling data scientists, and collaborating with ML engineers to scale solutions.

Qualifications

• BS in Computer Science, Information Systems, Computer Engineering or related field or equivalent experience.
• +5 years in a Data Engineer role or similar data engineering exposure.
• Experience with data ingestion, preparation, validation, and transformation at scale.
• Knowledge of data architecture, cloud data platforms and analytics solution design.

Responsibilities

• Understand business data requirements and support processes and objectives.
• Build and maintain automated data pipelines and data products.
• Ingest, cleanse, transform, and store data from multiple sources.
• Enable data scientists with accessible datasets and scalable infrastructure.
• Collaborate with ML Engineers to scale models and document deployments.

Skills

Data modeling

Data warehousing

Python

SQL

Analytical thinking

Stakeholder engagement

Education

BS in Computer Science or related field

Tools

Azure Data Factory

Databricks

Azure Synapse

Azure Data Lake

Git

Job description

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 / Aff…