Senior - Mid Level Microsoft Fabric Data Engineer

Company Description Squash Apps is a highly-rated full-stack consulting company dedicated to creating next-generation, scalable, and robust web applications for visionary clients. Leveraging cutting-edge technologies such as MEAN, MERN, MEVN stacks, Java stack, SQL/NOSQL, Elastic Search, Redis, and hybrid mobile apps, Squash Apps delivers exceptional software solutions. With a portfolio highlighted on their website and a successful eCommerce product, Panitr, Squash Apps emphasizes innovation and quality. The team is passionate about developing top-tier applications and invites forward-thinkers to join their growing organization. We are looking for a Senior Microsoft Fabric Data Engineer to lead end-to-end data pipeline development across the Microsoft Fabric ecosystem . The ideal candidate is strong in Data Factory, Lakehouse architecture, Delta, Spark, and Power BI integrations. Responsibilities  ● Design and build scalable ELT/ETL pipelines using Microsoft Fabric (Data Factory, Dataflows, Notebooks, Spark). ● Develop & optimize Lakehouse / Delta Lake layers (Bronze–Silver–Gold). ● Implement data ingestion pipelines using Fabric Data Factory Pipelines & Dataflows Gen2 . ● Work with Fabric Lakehouse, Warehouses, KQL DB, OneLake . ● Build and tune Spark notebooks for transformations and large-scale processing. ● Integrate with Power BI for semantic modeling and data product delivery. ● Ensure data governance using Fabric capacities, security roles, lineage tools . ● Implement CI/CD using Azure DevOps / GitHub , including branching & deployment. ● Mentor teams, perform code reviews, and drive best practices. Required Skills ● 7–12+ years of Data Engineering; 2–3+ years solid experience with Microsoft Fabric . ● Strong in PySpark, SQL, Delta Lake, Spark Notebooks . ● Deep understanding of OneLake, Lakehouse, Warehouses, Data Factory . ● Experience with Azure ● Strong in data modeling (star/snowflake), ELT, and Lakehouse architecture. ● Strong hands-on experience with Git, CI/CD, Azure DevOps . ● Excellent performance tuning skills for Spark workloads. Good to Have ● Power BI DAX / Semantic Models exposure ● Experience with KQL / Real-time analytics ● Azure or Fabric certifications ● Knowledge of DataOps, monitoring, cost optimization Microsoft Fabric Data Engineer (4–6 Years Experience) We’re looking for a Microsoft Fabric Data Engineer to build modern, scalable data pipelines across the Microsoft Fabric ecosystem . Perfect for someone with strong skills in Spark, Data Factory, Lakehouse, and SQL. Responsibilities ● Build and maintain ELT/ETL pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Notebooks). ● Develop Lakehouse layers (Bronze–Silver–Gold) using Delta Lake. ● Work with Fabric Lakehouse, Warehouses, KQL DB, OneLake for end-to-end data solutions. ● Perform data ingestion, transformation, and performance tuning using Spark notebooks .● Integrate datasets with Power BI and semantic models. ● Manage deployments using Git + CI/CD (Azure DevOps / GitHub). ● Ensure data quality, documentation, and best practices. Required Skills ● 4–6 years of Data Engineering experience. ● Hands-on with Microsoft Fabric components: Data Factory, Lakehouse, Pipelines, Notebooks. ● Strong in PySpark, SQL, Delta Lake, Spark transformations . ● Experience with Azure ● Good understanding of data modeling and Lakehouse architecture. ● Experience with Git and basic CI/CD workflows. ✨ Good to Have ● Exposure to Power BI (DAX or modeling). ● Knowledge of KQL or Real-time analytics. ● Azure / Fabric certification.