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Senior Data Engineer (Microsoft Fabric Engineer) at Weekday AI. This role is for one of the Weekday's clients. Min Experience: 5 years. Location: Remote (India). JobType: full-time. We are seeking an experienced . Senior Data Engineer (Microsoft Fabric Engineer). to design, build, and scale modern cloud-native data platforms. This role focuses on developing robust . ETL/ELT pipelines, data architectures, and high-performance data engineering solutions. using Microsoft Fabric and Azure data technologies.. The ideal candidate will combine strong architectural thinking with hands-on engineering expertise to build scalable data pipelines, support advanced analytics, and collaborate with machine learning teams on AI-driven data workflows. The role requires deep experience with . Databricks, Spark, Delta Lake, Python, and SQL. , along with modern data orchestration and governance practices.. Key Responsibilities. Data Architecture & Platform Design. Design and implement . scalable cloud-native data architectures. using Microsoft Fabric and Azure data services. . Define best practices for . data governance, architecture standards, and platform scalability. . . Build robust data models and data warehouse architectures to support analytics and AI workloads. . ETL/ELT Pipeline Development. Design and develop . high-performance ETL and ELT pipelines. for large-scale data processing. . Build and maintain data pipelines using . Python and SQL. to process and transform complex datasets. . Ensure reliability, scalability, and performance optimization across data workflows. . Data Engineering & Platform Development. Develop and manage . data engineering workflows using Databricks, Spark, and Delta Lake. . . Implement data ingestion frameworks and support large-scale data processing environments. . Optimize data pipelines for performance, reliability, and cost efficiency. . Orchestration & Automation. Design workflow orchestration using tools such as . Airflow or Azure-native orchestration services. . . Automate data processing pipelines and maintain operational reliability across systems. . AI & Advanced Data Workflows. Collaborate with machine learning teams to support . LLM, NLP, and AI-driven data workflows. . . Enable feature engineering and data pipelines that support advanced analytics and AI models. . Governance & Best Practices. Establish best practices for . data architecture, pipeline management, documentation, and security. . . Ensure compliance with enterprise data governance and quality standards. . Required Skills & Experience. . 4+ years of experience. in data engineering, data architecture, or ETL development. . Hands-on experience with . Microsoft Fabric data engineering capabilities. . . Strong expertise in . ETL/ELT development and data pipeline design. . . Experience working with . Databricks, Apache Spark, and Delta Lake. . . Strong programming skills in . Python and SQL. . . Experience building scalable data platforms on . Azure cloud environments. . . Knowledge of . data warehousing, data modeling, and large-scale data processing. . . Familiarity with . LLM/NLP workflows or AI-driven data pipelines. is an advantage. . Bachelor’s degree in . Computer Science, Information Technology, or related field. preferred. . Key Skills. Microsoft Fabric . ETL / ELT . Data Engineering . Data Warehousing . Data Pipelines . Azure Data Lake . Data Management . Data Architecture . Azure Data Factory . Databricks / Spark / Delta Lake. Company Location: India.