Requisition ID: 292591 Relocation Authorized: None Telework Type: Full-Time Office/Project Work Location: New Delhi Extraordinary teams building inspiring projects: Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place. Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations. Core to Bechtel is our Vision, Values and Commitments. They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report. Bechtel's India offices support the execution of projects and services around the world. Working seamlessly with Bechtel's global business units, project sites, customers, and suppliers, our teams have delivered more than 125 projects since 1994. With offices in Gurgaon, Vadodara, and Chennai there are exciting career opportunities for candidates who are passionate about delivering projects that make a lasting, meaningful difference for people and communities around the world. Job Summary: We are seeking a highly skilled and motivated Senior Software Engineer specializing in Data Engineering and Power BI Analytics to join our growing team. This role will focus on designing, developing, and optimizing scalable data solutions within the Azure cloud environment while enabling advanced analytics and business intelligence using Power BI. The ideal candidate will possess strong expertise in Azure Data Lake, Azure Data Factory, Databricks, and Power BI, with the ability to design end-to-end data pipelines and build robust analytical models and dashboards that drive business insights. This role will play a key part in delivering enterprise analytics solutions, data visualization frameworks, and self-service BI capabilities for business stakeholders. Major Responsibilities: Data Engineering & Data Platform • Design, develop, and optimize scalable data processing pipelines and architectures within Azure Data Lake and Databricks, ensuring performance, scalability, and maintainability. • Implement and manage complex ETL/ELT data pipelines integrating data from multiple enterprise sources such as databases, APIs, and external systems. • Use Azure Data Factory for workflow orchestration, scheduling, and monitoring of enterprise data pipelines. • Implement data quality validation frameworks to ensure accuracy, completeness, and consistency across the data platform. • Optimize data storage, transformation, and query performance within Azure environments including Databricks, Azure SQL, and Synapse. Power BI Development & Analytics • Design, develop, and maintain enterprise Power BI solutions, including semantic models, datasets, dashboards, and analytical reports. • Build interactive and visually compelling dashboards that translate complex data into meaningful insights for business stakeholders. Develop Power BI data models, including star schemas, DAX measures, calculated columns, and optimized datasets. • Implement Power BI data governance and security, including Row-Level Security (RLS) and workspace management. • Optimize Power BI performance through dataset optimization, query tuning, aggregation strategies, and incremental refresh. • Enable self-service analytics capabilities for business users by building reusable datasets and standardized data models. Education and Experience Requirements: Bachelor's degree in Computer Science, Engineering, or related field. 10+ years of experience in Data Engineering, Business Intelligence, or Analytics platforms. Required Knowledge and Skills: Strong hands-on expertise with Azure Data Lake, Azure Data Factory, Databricks, and Power BI development and analytics. • Extensive experience building Power BI data models, dashboards, and enterprise BI solutions. • Strong proficiency in SQL, query optimization, and performance tuning. • Experience designing data models for analytics such as star schema and dimensional modeling. • Hands-on experience with Azure services including Azure Synapse Analytics, Azure SQL Database, and Azure Blob Storage. • Experience integrating data engineering pipelines with Power BI analytics platforms. • Experience supporting or developing reports in SAP Business Objects. • Strong analytical, troubleshooting, and problem-solving skills. • Excellent communication and collaboration skills. • Master's degree in a related field. • Experience with Power BI Premium