Data Engineer - Digital Twin & Analytics

About the role

Chevron's Engineering and Innovation Excellence Center (ENGINE) in Bengaluru brings together the resources of the Chevron global network with local talent to optimise solutions for current and future energy challenges. As a Data Engineer you will support the design, development, testing and deployment of data solutions that enable Digital Twin initiatives and enterprise analytics, working with senior data engineers, product teams and business stakeholders.

Key responsibilities

• Develop data pipelines, integrations and data quality solutions across engineering systems and cloud platforms.
• Support functional and unit testing of data pipelines, models and data products, and help implement data quality rules and resolve defects.
• Build and maintain data quality reports, enrich and augment engineering datasets, and assist with tag extraction and scraping from engineering documents.
• Build and support API connectors for engineering and operational data sources.
• Help design and maintain conceptual, logical and physical data models, and develop data validation rules and testing activities.
• Take part in Agile processes such as sprint planning, daily standups and retrospectives, and gather requirements with business users.
• Use data analytics techniques to support business decisions and share knowledge with senior data engineers.

Required profile

• Ability to work with business owners, analysts, product owners and other team members in Agile delivery teams.
• Strong communication skills, able to explain technical information and document solutions and test results.
• Analytical problem-solving skills, including investigating data quality issues and supporting root cause analysis.
• Willingness to learn new tools, technologies and business processes.

Required skills

• Azure data platform: Azure Data Factory, Databricks and cloud-based data solutions.
• Python for data processing and automation.
• ETL/ELT processes, data pipelines, data modeling and data governance and quality practices.
• SQL databases, REST APIs, data lakes and CI/CD pipelines.
• Familiarity with tag aliasing, entity resolution, tag-to-document associations and taxonomies such as CFIHOS.

What we offer

• Work on world-leading energy projects with structured learning, mentorship and growth opportunities.
• Comprehensive benefits supporting health, well-being and work-life balance.
• Standard work week Monday to Friday; hours 8:00am to 5:00pm or 1:30pm to 10:30pm.

Chevron does not sponsor employment visas or consider candidates on time-limited visa status for this position.