热门公司

ExxonMobil
ExxonMobil

International oil and gas corporation

Data Engineer

职能数据工程
级别中级
方式现场办公
类型全职
发布2个月前
立即申请

必备技能

Machine Learning

Exxon Mobil Business Support Center Argentina S.R.L; empresa afiliada a Exxon Mobil Corporation ()

About us

At Exxon Mobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.

We invite you to bring your ideas to Exxon Mobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together.

More about us

Our Global Business Center (GBC) in Buenos Aires was established in 2004 and our diverse and multinational workforce of more than 2500 colleagues have been powering Exxon Mobil’s global businesses ever since. We are proud to be part of an inclusive, safe, and vibrant work environment.The IT department is seeking new candidates to its dynamic team. The department provides support worldwide to the Organizations all along the value chain from exploration thru site development to production.

What role you will play in our team

  • The Data Specialist is responsible for designing, building, and maintaining scalable data pipelines to support data integration, quality, and performance optimization.

  • This role ensures accurate and timely delivery of data solutions, collaborates with Data Architects, and adheres to governance and security best practices.

  • This role will also contribute to AI initiatives by curating and preparing data for machine learning models and AI solutions.

  • Our office is in Puerto Madero, Buenos Aires and you will interact with Data engineers, BI developers, and users from all around the world.

What you will do

  • Design, build, and maintain ETL pipelines for extracting, transforming, and loading data from various sources.

  • Enable AI solutions by driving feature engineering and optimizing data pipelines for machine learning and agentic workflows.

  • Partner with data scientists and AI teams to design and deliver high-quality, AI-ready datasets that accelerate model development and deployment.

  • Implement integration solutions to consolidate data into a centralized data warehouse.

  • Develop and maintain documentation for data processes and pipelines.

  • Understand data requirements and translate them into technical specifications.

  • Execute PBIs assigned through the ADO board for timely and accurate delivery.

  • Implement data validation and cleansing processes to ensure integrity.

  • Follow governance and management policies to maintain security and compliance.

  • Optimize data storage and retrieval for scalability and performance.

  • Monitor and troubleshoot pipelines to resolve issues promptly.

About you

  • Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field. A Master’s degree is a plus.

  • Advanced English skills, verbal and written communication

  • Main reporting toolsets: PowerBI, Tableau, Python (using visualization library)

  • 3+ years of experience in data engineering, data pipeline development, or related roles.

  • Hands-on experience with ETL processes, data integration, and cloud-based data platforms (Azure preferred).

Preferred Qualifications/ Experience

  • Proficiency in SQL, Python, and data pipeline tools (e.g., Databricks, Azure Data Factory).

  • Familiarity with ML/AI concepts, including feature engineering, model data preparation, and data optimization for training/inference.

  • Exposure to LLM and Agentic AI platforms (e.g., Lang Graph, Microsoft Foundry, Copilot Studio) is desirable.

  • Strong problem-solving abilities.

  • Excellent communication skills.

  • Ability to work collaboratively in a team environment.

  • Understanding of data governance and security best practices.

Your benefits An Exxon Mobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.

We offer you:

- Competitive health coverage

- Flexible working hours

- 3-week vacation up to 5 years of service plus 1 personal day

- Online training tools

- Gym discounts and activities for sport and general well-being

- A solid ergonomic program

- Free vaccination campaigns

- Medical assistance available in the offices

- Equipped maternity rooms

- Among others

More information on our Company’s benefits can be found here.

Please note benefits may be changed from time to time without notice, subject to applicable law.

Stay connected with us

Learn more at our website

Follow us on LinkedIN and Instagram

Like us on Facebook

Subscribe our channel at YouTube

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

Exxon Mobil Business Support Center Argentina S.R.L solo podrá solicitarle la información estrictamente necesaria para el desempeño en el trabajo que se ofrece (Ley Nro. 6471 GCBA)

Alternate Location:

() Afiliada Exxon Mobil significa Exxon Mobil Corporation y/o toda persona, individuo, sociedad de persona, sociedad con responsabilidad limitada, sociedad anónima, fideicomiso, sucesión, asociación no constituida, representante, joint venture u otra entidad, directa o indirectamente controlante, controlada por Exxon Mobil Corporation o bajo control común con Exxon Mobil Corporation. Para los fines de esta definición el término "control" (incluyendo los términos "controlante" y "bajo control común con") significa posesión, directa o indirecta del poder para dirigir o disponer la dirección del manejo y políticas ya sea a través de la titularidad de títulos, acciones, cuotas o cualquier otro documento con derecho a voto, o por contrato o de otro modo, respecto de cualquier persona, individuo, sociedad de personas, sociedad con responsabilidad limitada, sociedad anónima, fideicomiso, sucesión, asociación no constituida, representante, joint venture u otra entidad."

Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.

Exxon Mobil Corporation has numerous affiliates, many with names that include Exxon Mobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, Exxon Mobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

浏览量

0

申请点击

0

Mock Apply

0

收藏

0

关于ExxonMobil

ExxonMobil

Exxon Mobil Corporation is an American multinational oil and gas corporation headquartered in Spring, Texas, a suburb of Houston. Founded as the largest direct successor of John D. Rockefeller's Standard Oil, the company was formed in 1999, with the merger of Exxon and Mobil.

10,001+

员工数

Irving

总部位置

$500B

企业估值

评价

10条评价

3.6

10条评价

工作生活平衡

3.8

薪酬

4.2

企业文化

3.5

职业发展

2.8

管理层

2.3

65%

推荐率

优点

Good benefits and compensation

Good work-life balance

Supportive colleagues and team environment

缺点

Poor management and lack of support

Limited career advancement opportunities

Bureaucratic and slow decision-making

薪资范围

11个数据点

Mid/L4

Mid/L4 · Quantitative Analyst

2份报告

$223,963

年薪总额

基本工资

$172,279

股票

-

奖金

-

$214,419

$233,506

面试评价

3条评价

难度

2.3

/ 5

时长

14-28周

面试流程

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Panel Interview

5

Background Check

6

Offer

常见问题

Technical Knowledge

Behavioral/STAR

Past Experience

Safety Protocols

Culture Fit