Data Engineer

Job Description

Job title : Data Engineer Experience: 5–8 Years Location: Remote Shift: IST (Indian Standard Time) Contract Type: Short-Term Contract Job Overview We are seeking an experienced Data Engineer with deep expertise in Microsoft Fabric to join our team on a short-term contract basis. You will play a pivotal role in designing and building scalable data solutions and enabling business insights in a modern cloud-first environment. The ideal candidate will have a passion for data architecture, strong hands-on technical skills, and the ability to translate business needs into robust technical solutions. Key Responsibilities Design and implement end-to-end data pipelines using Microsoft Fabric components (Data Factory, Dataflows Gen2). Build and maintain data models , semantic layers , and data marts for reporting and analytics. Develop and optimize SQL-based ETL processes integrating structured and unstructured data sources. Collaborate with BI teams to create effective Power BI datasets , dashboards, and reports. Ensure robust data integration across various platforms (on-premises and cloud). Implement mechanisms for data quality , validation, and error handling. Translate business requirements into scalable and maintainable technical solutions. Optimize data pipelines for performance and cost-efficiency . Provide technical mentorship to junior data engineers as needed. Required Skills Hands-on experience with Microsoft Fabric : Dataflows Gen2, Pipelines, OneLake. Strong proficiency in Power BI , including semantic modeling and dashboard/report creation. Deep understanding of data modeling techniques: star schema, snowflake schema, normalization, denormalization. Expertise in SQL , stored procedures, and query performance tuning. Experience integrating data from diverse sources: APIs, flat files, databases, and streaming. Knowledge of data governance , lineage, and data catalog tools within the Microsoft ecosystem. Strong problem-solving skills and ability to manage large-scale data workflows. Show more Show less