Data Engineer

• Design, build, and maintain enterprise ETL/ELT pipelines in Microsoft Fabric using Dataflow Gen2, Data Factory pipelines, and other Fabric-native tools • Collaborate closely with other Data Engineers and Developers in India to deliver scalable, well-orchestrated data solutions that support a global business • Ingest data from new and existing source systems into Microsoft Fabric using a combination of out-of-the-box connectors, APIs, and custom integration approaches • Transform and standardize disparate datasets into report-ready tables optimized for Power BI and downstream analytics use cases • Engineer and maintain dimensional models, including star schemas with fact and dimension tables, to support enterprise reporting and analytical scalability • Collaborate with analysts and business stakeholders to understand data requirements and translate them into robust warehouse and semantic-ready data structures • Create and monitor jobs, alerts, and data quality checks to identify missing, incomplete, or inaccurate data and perform root cause analysis to resolve issues • Optimize data transformations, query performance, and warehouse design to improve reliability, efficiency, and cost management • Prepare and maintain data architecture documentation, pipeline documentation, system diagrams, and ERDs to clearly communicate lineage and transformation logic • Assist in building roadmaps for new data sources, warehouse enhancements, and process automation opportunities within the Fabric ecosystem • Identify opportunities to improve reporting enablement, automation, and analytical capabilities across the business • Other duties as assigned, including ad hoc project work
• Bachelor’s degree in Business Analytics, Computer Science and Engineering, Data Science, Information Systems, or another quantitatively rigorous discipline • 3+ years of hands-on experience in data engineering, enterprise data warehousing, data modeling, or related disciplines • Strong understanding of ETL/ELT concepts, with practical experience using SQL, Spark, Python, and other programming languages • Hands-on experience with Microsoft Fabric, including Dataflow Gen2, Data Factory pipelines, and Fabric Lakehouse and Warehouse • Demonstrated experience designing and maintaining dimensional models, including star schemas with dimension and fact tables • Proven ability to normalize, standardize, join, and aggregate disparate raw datasets into report-ready tables at multiple levels of granularity • Experience supporting Power BI or similar BI platforms with analytics-ready datasets and semantic-friendly structures • Consistently leveraging AI to improve efficiency and processes with a desire to build data foundations that support the company’s AI initiatives • Experience building and maintaining API-based integrations, with working knowledge of MCPs, authentication methods, and common integration patterns such as REST, JSON, and webhooks • Ability to identify opportunities for performance optimization, automation, and cost efficiency across data pipelines and warehouse processes • Ability to multi-task, problem solve, and take ownership of work in a fast-paced, high-growth environment • Must be detail oriented with strong organizational, documentation, and analytical skills • Strong work ethic, initiative, and a collaborative mindset with a positive attitude • Experience with Microsoft Dynamics NAV/Business Central, QuickBooks, Salesforce Commerce Cloud, Shopify, Amazon marketplaces, and advertising data is a plus