Data Analytics Admin
Roles & Responsibility :
Deep expertise with Microsoft Fabric workloads (OneLake, Data Engineering, Data Factory, Data Warehouse, Real-Time Analytics, Data Activator, Power BI).
Strong command of SQL, including performance tuning, modeling, and advanced query development.
Experience designing data warehouses, ODS layers, dimensional models, and lakehouse architectures.
PySpark and/or notebooks experienced will be a plus
Solid understanding of data governance, security, Purview, and enterprise metadata management.
Experience with CI/CD pipelines, Git, and DevOps methodologies.
Ability to communicate complex technical concepts to both technical and nontechnical audiences.
Knowledge of MS fabric licenses and user access management
Platform Architecture & Design
Architect and implement scalable Microsoft Fabric solutions across OneLake, Data Engineering, Data Factory, Real-Time Analytics, and Power BI.
Design enterprise data warehouses, data marts, ODS, and lakehouse models that support analytical and operational workloads.
Create data ingestion, transformation, and integration patterns using Fabric pipelines, notebooks, Spark, and KQL-based engines.
Develop governanceready data models, security frameworks, and data-sharing strategies across Fabric workspaces and domains.
Engineering & Development
Build and optimize SQL-based objects including tables, views, stored procedures, functions, and performancetuned queries.
Develop end-to-end ETL/ELT pipelines using Data Factory and Fabricnative orchestration tools.
Implement best practices for schema design, data quality, metadata management, and lineage tracking.
Integrate Fabric workloads with external systems including ERP, CRM, operational databases, SaaS sources, and APIs.
In India/ Remote