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ExxonMobil

Produces oil, gas, fuels and chemical materials

Data Engineer Advanced

Data EngineeringConfirmed live in the last 24 hours
Full-timeSpring, TX, USAIn-person

About the Job

Requirements

  • Experience developing, maintaining, and documenting physical data models, data dictionaries, and data flow diagrams.
  • Experience gathering complex business requirements by defining business problems and data requirements.
  • Ability to reinforce the value and use of data to business subject matter experts.
  • Knowledge of current data engineering technologies and trends, and ability to apply them to improve data pipelines.
  • Experience optimizing data delivery and automating manual processes to improve efficiency and reliability.
  • Ability to integrate diverse datasets for data scientists working with machine learning and deep learning models.
  • Experience integrating standards for platforms and frameworks supporting source code management, work item and project tracking, DevOps, and enterprise architecture.
  • Experience building large-scale batch and/or real-time data pipelines using data processing frameworks in cloud platforms and/or on-premises.
  • Ability to manage and secure structured and unstructured data flows from multiple sources.
  • Experience designing and implementing real-time data processing and streaming solutions.

Responsibilities

  • Design, implement, and maintain complex data pipelines and architectures.
  • Work with large-scale data platforms, ensure data quality, and optimize data flow and collection for cross-functional teams.
  • Develop, maintain, and document physical data models, data dictionaries, and data flow diagrams.
  • Gather complex and often unique business requirements by defining business problems and data requirements.
  • Reinforce the value and use of data to business subject matter experts.
  • Stay current with data engineering technologies and trends and apply them to improve existing data pipelines.
  • Optimize data delivery and automate manual processes to improve efficiency and reliability.
  • Assist data scientists in integrating diverse datasets for machine learning and deep learning models.
  • Integrate standards for platforms and frameworks supporting source code management, work item and project tracking, DevOps, and enterprise architecture.
  • Build large-scale batch and/or real-time data pipelines using data processing frameworks in cloud platforms and/or on-premises.
  • Manage and secure the flow of structured and unstructured data from multiple sources.
  • Lead and mentor Associate Data Engineers, providing guidance and support for their professional development.
  • Design and implement solutions for real-time data processing and streaming.

About the Company

ExxonMobil

Produces oil, gas, fuels and chemical materials

ExxonMobil produces oil and natural gas and manufactures fuels, lubricants, and chemicals for transport operators, industrial customers, and consumers around the world. Its businesses span resource exploration and production, refineries that turn crude oil into fuels, and plants that make plastics and other chemical materials. The company sells products through wholesale supply agreements and the Exxon, Esso, and Mobil brands, including motor oils for vehicles and machinery. It also sells services that capture, transport, and store industrial carbon dioxide underground. The merged company formed in 1999 from Exxon and Mobil, with roots in earlier oil businesses, and is headquartered in Spring, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Spring, TX
Founded
1999

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