Cloud Platform Engineer

 About The Role  

Project Role :Cloud Platform Engineer

Project Role Description :Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance.
Must have skills :Microsoft Fabric

Good to have skills :NA
Minimum 3 year(s) of experience is required

Educational Qualification :15 years full time education
We are seeking a skilled Microsoft Fabric Data Engineer to design, build, optimize, and maintain modern data solutions using Microsoft Fabric. The ideal candidate will have strong experience with data engineering, analytics workloads, cloud-based data platforms, and end-to-end data pipeline development.Min 4yrs exp - Microsoft Fabric Data EngineerKey Responsibilities1. Data Architecture & Modeling?¢Design and implement scalable data architectures using Microsoft Fabric components such as Lakehouse, Data Warehouse, OneLake, and KQL Databases.?¢Create and optimize star schemas, data marts, semantic models, and medallion architectures.?¢Manage and enforce data governance, security, and access control within Fabric workspaces.2. ETL/ELT Pipeline Development?¢Develop, orchestrate, and maintain data ingestion and transformation pipelines using Data Factory, Fabric Pipelines, and Dataflows Gen2.?¢Build automated workflows for batch, streaming, or event-driven ingestion.?¢Optimize pipeline performance and ensure reliability, scalability, and fault-tolerance.3. Data Integration & Processing?¢Work with structured and unstructured data from various enterprise systems, APIs, and external sources.?¢Utilize Apache Spark within Fabric Notebooks for large-scale data processing.?¢Implement Delta Lake best practices (Z-ordering, OPTIMIZE, VACUUM, etc.).4. Analytics & Reporting Enablement?¢Partner with BI analysts to create and optimize Power BI semantic models and direct lake mode datasets.?¢Publish high-quality, certified data assets for business consumption.?¢Ensure data quality, accuracy, and consistency across analytic layers.5. Monitoring, Optimization & Operations?¢Monitor Fabric workloads, storage utilization, capacity models, and performance.?¢Implement logging, alerting, and automated testing for pipelines.?¢Perform cost optimization for compute workloads and OneLake storage.6. Collaboration & Stakeholder Engagement?¢Work closely with data analysts, data scientists, and business stakeholders to understand data needs.?¢Translate business requirements into scalable data solutions.?¢Document workflows, architectures, and best practices.________________________________________Required Skills & Qualifications?¢Bachelor??s degree in Computer Science, Information Systems, Engineering, or related field.?¢Hands-on experience with Microsoft Fabric (Lakehouse, Data Factory, Pipelines, OneLake, Notebooks, Power BI).?¢Strong proficiency with SQL, Python, Spark, and Delta Lake.?¢Experience with Azure services (Azure Data Lake, Azure Synapse, Azure Data Factory, AAD).?¢Solid understanding of ETL/ELT methodologies, data modeling, and data warehousing concepts.?¢Knowledge of version control (Git) and CI/CD workflows.?¢Excellent analytical, problem-solving, and communication skills.________________________________________Preferred Qualifications?¢Fabric Analyst or Fabric Engineer Certification.?¢Experience with MLOps or DataOps practices.?¢Familiarity with DevOps tools (Azure DevOps, GitHub Actions).?¢Experience with streaming technologies (Event Hubs, Kafka, Fabric Real-Time Analytics). Qualification 15 years full time education