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Data Engineer Analyst Intern
Company | Chevron |
Address | Calgary, Alberta, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Oil and Gas |
Expires | 2023-09-24 |
Posted at | 8 months ago |
Chevron is one of the world’s leading integrated energy companies. We believe affordable, reliable, and ever-cleaner energy is essential to achieve a more prosperous and sustainable world. Chevron produces crude oil and natural gas, manufactures transportation fuels, lubricants, petrochemicals, and additives, and develops technologies that enhance our business and industry. To advance a lower-carbon future, we are focused on efficiently decreasing our carbon intensity, increasing renewables and offsets in support of our business, and investing in low-carbon technologies that enable commercial solutions. More information about Chevron is available at https://www.chevron.com/.
- Actively participate in learning opportunities such as communities of practice to improve skills and better support the team.
- Contribute to advancement and improvement of agile practices and delivery system within the organization.
- Contribute to platform and business unit fit-for-purpose execution of priority features.
- Training of industry and Chevron proprietary applications.
- Collaborative, high-performance work environments where integrity, diversity and teamwork are valued.
- Exposure to the latest technologies for exploration, production and reservoir management in a workplace dedicated to digital acceleration.
- Hands-on technical work projects which will expand your knowledge of the industry and accelerate your professional development.
- Assess data quality concerns specific to workflow solutions being adopted and driving mitigation activities.
- Identify, acquire, cleanse/prepare, store data, and develop reusable data products aligned with defined architecture patterns.
- Monitoring and reporting on progress and deliverables.
- Support the life cycle management process for models.
- Understand the business use of data and stakeholder requirements to support work processes and strategic business objectives.
- Maintaining and sharing knowledge of requirements, key data types and data definitions, data stores, data creation process.
- Performance optimization using performance tuning techniques.
- Analyze current state of data management: process, practices, tools, and helping shape future needs. Contributing to the design of common information models.
- Designing visualization that will provide insights and create value.
- Identify and frame opportunities to apply advanced analytics, modeling, and related technologies to data that provide insight and improve decision making, and automation.
- Partner with business (digital platform, Business Units, function teams) and delivery teams to provide data management direction and support for data foundation initiatives and data products development.
- Collaborate with machine learning engineers to scale and deploy solutions including models, documentation, training, and integration.
- Partner with data scientists, making data available for advanced analytics models, and contribute to advanced analytics models.
- Perform Data transformation like normalization and aggregation to support analytical and reporting needs.
- Advise on the appropriate data integration patterns, data modeling and data quality.
- Contribute to the inner source development of foundational tools, and the deployment of technical services.
- Data integration pipeline development
- Familiarity with ETL, SQL, SSIS, data warehousing and metadata management.
- Hands-on development or system integration experience (classroom or job-related).
- Familiarity with secure coding best practices.
- Must be able to obtain a security clearance and maintain the clearance throughout their employment.
- Must be legally entitled to work in Canada.
- Strong analytic skills related to structured and unstructured datasets.
- Familiarity with developing in Java, .NET, HTML, SharePoint, Perl, Python, UIPath, Ruby, PowerApps or other development / scripting languages using Azure Git repository.
- Students pursuing a bachelor’s or Master’s degree program in Computer Science, Computer Engineering, Management Information Systems, or related fields or equivalent experience.
- Previous energy industry related internship experience is an asset.
- Strong academic performance in core programs, communication, leadership, teamwork, and problem-solving skills.
- Please submit your resume and unofficial transcript(s) for review.
- We offer alternative work schedules including 9/1 (work 8.33-hour days, with every other Friday off)
- We offer a hybrid work model - work remotely from home 2 days a week (Monday & Friday)
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