Azure Data Engineer – Microsoft Fabric & Power BI

Infosys Pontoon • Indianapolis, IN

1d • Hybrid

About The Position

We are seeking a skilled Data Engineer with hands-on experience in Microsoft Fabric, Azure Databricks, Azure Data Factory (ADF), and Power BI. The role is responsible for designing, developing, and supporting scalable data pipelines, analytics solutions, semantic models, and reporting platforms. Experience with API integrations, SQL, Python, and modern cloud-based data ecosystems is highly preferred. The position is based in Indianapolis, Indiana, with work in the office two days a week.

Requirements

• Four years of experience in Data Engineering, Business Intelligence, or Analytics Engineering roles.
• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
• Experience with Azure Databricks.
• Experience with Azure Data Factory (ADF).
• Experience with Microsoft Fabric.
• Experience with Power BI semantic models.
• Experience with SQL and Python.
• Experience with REST API integration.
• Experience with data modeling, DAX, and Power Query.
• Experience with Azure Cloud Services.
• Experience with Git/GitHub and Agile methodologies.

Nice To Haves

• Experience with Snowflake.
• Experience with Azure Blob Storage and Dataverse.
• Experience with AWS (EC2, S3, Lambda).
• Experience with Power Automate, NLP, OCR, and LLM integrations.
• Experience building end-to-end analytics solutions using Microsoft Fabric.
• Experience developing KPI-driven Power BI dashboards.
• Exposure to AI-enabled analytics and automation use cases.
• Knowledge of ReactJS, Node.js, or full-stack development.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory (ADF) and Microsoft Fabric.
• Develop and optimize data transformation workflows using Azure Databricks.
• Build and maintain Power BI semantic models, reusable measures, KPIs, and reporting solutions.
• Create interactive dashboards and reports to support business intelligence and decision-making.
• Integrate data from multiple sources using REST APIs and other enterprise data interfaces.
• Collaborate with business stakeholders to gather requirements and deliver data-driven solutions.
• Develop automation solutions leveraging AI/LLM technologies, NLP, OCR, and Power Automate.
• Ensure data quality, performance optimization, and governance across analytics platforms.
• Support cloud-based data platforms and analytics environments.

What This Job Offers

• Job Type: Full-time