Remote Power Bi & Sql Data Engineer

Agileengine, Llc.; Quilmes; Remoto; ARS 92.724.000 - 139.086.000; Tempo pieno

Descrizione del lavoro

Chevron Global Business Services (GBS) in Buenos Aires, Argentina, is seeking a Data Engineer to design and maintain automated data transformation pipelines across diverse storage and compute technologies.

Responsibilities include understanding data use, enabling data scientists with accessible data, and collaborating with ML engineers to scale models. Relocation may be considered; expatriate assignments will not be sponsored.

Competenze

• BS in Computer Science, MIS, 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, Databricks, DevOps, CI/CD, Python, Java, Ansible, Azure SQL, Azure Synapse, GIT, ADO, Azure Data Lake, Azure Analysis Services, Logic Apps, Microsoft Data Flows, and Kimball methodology.
• Analytical thinking, Consulting, and Critical Thinking.

Mansioni

• 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.
• 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

Conoscenze

Analytical thinking

Consulting

Critical Thinking

Formazione

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

+5 years in Data Engineer Role

Strumenti

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 Methodology

Descrizione del lavoro

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 centre 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 / Affiantive Action employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or other status protected by law or regulation.