Join our Team
Chevron’s strategy is straight-forward: be a leader in efficient and lower carbon production of traditional energy, in high demand today and for decades to come, while growing lower carbon businesses that will be a bigger part of the future. To achieve these goals, we’ll build on the assets, experience, capabilities, and relationships we’ve developed over 140 years to incubate and grow new business.
Technology will play a crucial role in unlocking ever cleaner and more affordable sources of energy. Chevron is seeking innovative, technology professionals with a desire to thrive in the global digital environment and help us lead the global energy transition.
An IT career at Chevron offers you the opportunity to work in a technical environment with a global reach. You’ll find that we make a business of investing in our people and encouraging your professional development through a learning culture and challenging on-the-job opportunities. We differentiate ourselves through the application of cutting-edge technology, and by taking a collaborative approach that includes in-house expertise, proprietary solutions, and strategic partnerships. We also offer flexible work schedules and very competitive benefits.
Responsibilities for this position may include but are not limited to:
- Develop jobs for ingestion of SAP and/or JDE data into the lake
- Develop jobs for ingestion of lake data into SAP and/or JDE
- Contribute in operationalizing SAP and/or JDE data ingestion into the lake
- Develop ECC CDS views or BW4HANA openhubs that will be the datasource of the data ingestion of SAP and/or JDE
- Explore Azure Synapse tool on how this can be used and develop solutions on data validation of SAP and/or JDE in the lake
- Explore if Data Quality tool can be used for data being ingested by the team in the lake
- 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 including BPC, BW, Service Now, and Azure.
- 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.