Data Engineer

Responsibilities

• Design and deliver enterprise dashboards and reports using Power BI to convert complex data into interactive visual insights.
• Develop scalable data models and datasets using DAX and Power Query to enable real-time analytics.
• Perform ETL/ELT processes, including data integration, cleansing, and transformation across Azure, SQL, and APIs.
• Implement performance optimization, data governance, and security protocols such as Row-Level Security (RLS).
• Design and develop low-code applications using Power Apps and Dataverse, and automate business workflows with Power Automate.
• Build and manage cloud-native data pipelines using Azure SQL, Data Lake, Synapse, or Fabric.

Requirements

• 5-10 years of experience in data engineering or analytics.
• Expert proficiency in Power BI (Dashboards, DAX, Power Query) and data modeling.
• Hands-on experience with Power Apps, Dataverse, and Power Automate.
• Strong command of SQL, relational databases, and data warehousing concepts.
• Experience with Azure data services (Azure Data Factory, Synapse, or Data Lake).
• Bachelor's degree in IT, Computer Science Engineering, or a related field.

Preferred Qualifications

• Experience with Microsoft Fabric or Synapse Analytics.
• Knowledge of AI/ML or predictive analytics.
• Experience with real-time streaming data and integration with enterprise applications like ERP or ServiceNow.

Benefits

• Opportunity to work on world-leading energy projects and emerging technologies.
• Structured learning, mentorship, and professional development programs.
• Inclusive and collaborative workplace with thoughtfully designed environments.
• Comprehensive benefits supporting health, well-being, and work-life balance.

About the Company

Chevron is one of the world's leading integrated energy companies. The Engineering and Innovation Excellence Center (ENGINE) in Bengaluru brings together global expertise with local talent to enhance technological innovation and optimize solutions for the world's energy challenges.