YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.
At YASH, we're a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth - bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.
We are looking forward to hireMicrosoft Fabric Professionals in the following areas :
Job Description: Senior Microsoft Fabric Data Engineer
Experience Level: 5 to 7 Years (specifically 1-2 years in Microsoft Fabric)
Role Overview
We are looking for a Senior Microsoft Fabric Data Engineer to architect and lead the delivery of enterprise-scale data platforms. This role involves owning end-to-end solution design across Lakehouse, Warehouse, and Real-Time Intelligence. You will be responsible for setting engineering standards, mentoring a pod of data engineers, and partnering with stakeholders to drive Fabric-led modernization programs. This position is ideal for a seasoned expert with deep Azure and Spark/SQL experience.
Key Responsibilities
- Solution Architecture: Lead design for Fabric platforms including Lakehouse, Warehouse, Data Factory, Dataflows Gen2, and Notebooks.
- Modernization: Drive migration programs from legacy stacks like on-prem DW, Synapse, Databricks, or Informatica to Microsoft Fabric.
- Platform Governance: Define Medallion architecture standards, OneLake organization, and workspace topology.
- Team Leadership: Manage and mentor a pod of 5-10 data engineers, conducting design and code reviews.
- Hands-on Delivery: Build complex pipelines and semantic models for high-volume, regulated workloads.
- DevOps & CI/CD: Establish environment strategies and release management using Azure DevOps or GitHub.
- Performance Optimization: Lead capacity planning, cost optimization, and reliability engineering for Fabric workloads.
- Governance & Security: Implement data governance via Microsoft Purview (lineage, sensitivity labels, RLS/OLS).
Must-Have Skills
- Experience: 8+ years in data engineering, with 3+ years in a Lead or Architect capacity.
- Microsoft Fabric: 1-2 years of hands-on experience (OneLake, Data Factory, Notebooks, etc.).
- Spark & Delta Lake: Expert in PySpark, Spark SQL, and Delta Lake performance tuning.
- SQL & Architecture: Expert-level SQL and proven experience with Medallion/Lakehouse architectures and dimensional modeling.
- Azure Ecosystem: Strong experience with ADF, ADLS Gen2, Azure SQL, Synapse, and Key Vault.
- Power BI: Working knowledge of Direct Lake, semantic modeling, and DAX.
Good-to-Have Skills
- Migrations: Experience transitioning from Snowflake or Databricks to Fabric.
- Real-Time Intelligence: Hands-on with KQL, Eventstreams, or Activator.
- SAP Integration: Experience with SAP source systems (S/4HANA/BW) using CDS views or ODP.
- Certifications: Microsoft DP-700, DP-600, or DP-203.
- Pre-sales: Experience with effort estimation, RFP responses, and Proof-of-Concepts (PoCs).
Soft Skills & Education
- Communication: Strong consulting skills and the ability to translate business outcomes into technical roadmaps.
- People Leadership: mentoring and growing engineering talent.
- Education: Bachelor's or Master's degree in CS, IT, or Engineering.
At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment.We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.
Our Hyperlearning workplace is grounded upon four principles
- Flexible work arrangements, Free spirit, and emotional positivity
- Agile self-determination, trust, transparency, and open collaboration
- All Support needed for the realization of business goals,
- Stable employment with a great atmosphere and ethical corporate culture
