Cloud Platform Engineer

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 Engineer Key Responsibilities 1. 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).

15 years full time education