Cloud Platform Engineer

Project Role :

Project Role Description :

Must have skills :

Good to have skills :

Minimum 5 Year(s) Of Experience Is Required

Educational Qualification :

• 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).