Senior Data Engineer
Chevron
- Location
- Bengaluru, Karnataka, India
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 4 approvals (FY2023)
- Posted
- Aug 31, 2026
Skills
About this role
Total Number of Openings 1 Chevron Engineering and Innovation Excellence Center (ENGINE) in Bengaluru India brings together the resources and expertise of the Chevron global network with talent in India to enhance agility and technological innovation to optimize solutions for the world’s current and future energy challenges. As one of the leading energy providers worldwide, Chevron is involved in the production of crude oil and natural gas, manufacturing of transportation fuels, lubricants, petrochemicals, and additives, and the development of enabling technologies. Chevron's vision is to be the global energy company most admired for its people, partnerships, and performance. With a clear purpose to develop affordable, reliable, ever-cleaner energy that enables human progress, we believe human ingenuity has the power to solve any challenge and overcome any obstacle. Meeting the world’s growing energy needs requires the pursuit of innovations and advancements that deliver a better future for all.
Role
Overview We are looking for a senior data engineer with 7-10 years of experience to drive enterprise data analytics, reporting, and low-code solutions using Microsoft Power Platform and Azure ecosystem. The role requires strong expertise in Power BI, data modelling, analytics strategy, and Dataverse-based low-code applications, along with leadership in delivering data-driven decision support systems. Power BI plays a critical role as an enterprise analytics platform for building interactive dashboards and insights to support business decision-making.
Key Responsibilities
Design and deliver enterprise dashboards and reports using Power BI, convert complex data into interactive visual insights for business stakeholders Develop scalable data models and datasets (DAX, Power Query) enable real-time and self-service analytics capabilities across teams Perform data integration, cleansing, and transformation (ETL/ELT), build robust data models combining multiple sources (Azure, SQL, APIs) Implement performance optimization strategies for large-scale analytics, ensure data accuracy, consistency, and governance compliance Manage Power BI workspaces, datasets, and deployment pipelines, implement Row-Level Security (RLS) and access controls. Define standards for report development, sharing, and lifecycle management, ensure compliance with enterprise data security policies Design and develop applications using Power Apps and Dataverse, build business workflows using Power Automate Integrate low-code solutions with enterprise systems and APIs, support lifecycle management and deployment across environments Azure SQL / Data Lake, Azure Synapse / Fabric, Azure Data Factory Design data pipelines and integrate analytics solutions, enable cloud-native, scalable, and secure data architectures Required Skills Power BI (Dashboard, DAX, Power Query), Data modelling and data visualization Dataverse and Power Apps, Power Automate (workflow automation) SQL and relational databases Data warehousing concepts and azure data services Enterprise analytics architecture design, performance tuning of reports and datasets Data governance and security implementation, Integration with APIs and external systems Bachelor’s degree in IT/Computer Science Engineering or related field Good to Have Microsoft Fabric / Synapse Analytics, AI/ML or predictive analytics Real-time dashboards / streaming data, Integration with enterprise applications (ERP, ServiceNow, etc.) Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm. What we can offer you Everything we do at Chevron is guided by our values and our commitment to The Chevron Way . Have the opportunity to