Data Engineer

Overview

Data Engineer role supporting the design, development, testing and deployment of data solutions for Digital Twin initiatives and enterprise analytics, working with senior data engineers, product teams and business stakeholders.

What you'll do

• Support functional testing and unit testing of data pipelines, models, and data products.
• Assist with implementation of data quality rules and resolution of data defects.
• Support the creation and maintenance of data quality reports.
• Perform data enrichment and augmentation activities to improve engineering datasets.
• Assist in tag extraction and scraping activities from engineering documents.
• Build and support API connectors for engineering and operational data sources.
• Assist with the design and maintenance of conceptual, logical, and physical data models.
• Develop and support data pipelines, data validation rules, and testing activities.
• Participate in Agile development processes including sprint planning, daily standups, and retrospectives.
• Support requirements gathering, design, development, testing, and deployment of data solutions.
• Apply data analytics techniques to support business decision-making.
• Seek guidance from senior data engineers and actively participate in knowledge sharing and skill development activities.
• Document technical solutions, data requirements, test results, and process improvements.
• Investigate data quality issues and support root cause analysis activities.
• Manage assigned tasks effectively and deliver high-quality work within established timelines.
• Support process improvement initiatives and identify opportunities for automation and efficiency.

What you'll need

• Working knowledge of the Azure data platform, including Azure Data Factory, Databricks, and cloud-based data solutions.
• Proficiency in Python programming for data processing and automation.
• Understanding of ETL/ELT processes, data pipelines, and data modeling fundamentals.
• Familiarity with data governance, data quality, and data profiling practices.
• Experience developing reports, dashboards, or analytics solutions.
• Understanding of DevOps practices, source control, and CI/CD pipelines.
• Experience working with SQL databases, REST APIs, data lakes, and other structured and unstructured data sources.
• Knowledge of data integration and transformation techniques for engineering and operational data.
• Familiarity with tag aliasing, entity resolution, and entity relationship management.
• Basic understanding of tag-to-document associations and information management taxonomies (e.g., CFIHOS).
• Demonstrate strong analytical and troubleshooting skills.
• Work effectively with business owners, analysts, product owners, data engineers, and other project team members.
• Demonstrate a willingness to learn new tools, technologies, and business processes.
• Effectively communicate technical information to team members and stakeholders.

Details

• Location: Bengaluru, Karnataka, India.
• Standard work week is Monday to Friday.
• Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm.
• Work hours are aligned to support global business requirements.
• Chevron is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.
• Total number of openings: 1.