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Senior Software Engineer

5 - 10 years

7 - 12 Lacs

Posted:12 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Azure Fabric
Good to have skills Azure Synapse, Databricks, or Power BI Service. Knowledge of CI/CD pipelines using Azure DevOps or GitHub.

Summary: Skilled in design, implementation, and managing data solutions using the Microsoft Fabric platform, integrating data engineering, data science, real-time analytics, and business intelligence capabilities within a single SaaS experience. Should have a strong foundation in data modeling, data pipeline creation, and visualization using Power BI, with hands-on expertise in OneLake, Lakehouses, Dataflows Gen2, and Notebooks. Key Responsibilities: Design and build modern data solutions using Microsoft Fabric components: Lakehouse, Data Warehouse, Data Pipelines, Notebooks, and Power BI. Ingest and transform data from various sources into OneLake for centralized, governed storage. Develop Dataflows Gen2 and Pipelines for ELT/ETL operations using Fabrics native tools. Build semantic models and Power BI reports on top of Fabric datasets. Collaborate with stakeholders to translate business requirements into data solutions using Fabric s unified architecture. Work across Fabric workloads including Data Factory, Data Engineering (Spark), and Data Science. Optimize performance, ensure data quality, and implement security and compliance standards. Stay updated with Microsoft Fabric roadmap and emerging features. Required Skills & Experience: Hands-on experience in data engineering or BI development. Hands-on experience with Microsoft Fabric or preview environments. Strong understanding of Lakehouse architecture and OneLake. Proficient in Power BI, DAX, Power Query (M), and data modeling. Experience with Apache Spark notebooks (PySpark or Scala). Familiarity with SQL-based Data Warehousing within Fabric. Knowledge of data governance, data lineage, and role-based access control. Preferred Skills: Experience with Azure Synapse, Databricks, or Power BI Service. Knowledge of CI/CD pipelines using Azure DevOps or GitHub. Exposure to ML workloads and Data Science tooling within Fabric.

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