Roles & Responsibilities
Design and develop scalable enterprise data solutions using
Microsoft Fabric, OneLake, Lakehouse, and Data Warehouse
with Bronze/Silver/Gold medallion architecture.
Build hybrid
batch and near-real-time data pipelines
integrating on-premise SQL Server, legacy systems, and cross-cloud data sources.
Develop optimized data models with partitioning, indexing, versioning, lineage, reconciliation, and rerun capabilities.
Implement
DevOps/DataOps practices
, including Git-based version control, CI/CD, and automated Dev/UAT/Prod deployments.
Enable high-performance
Power BI analytics
through curated Gold-layer datasets, aggregation, incremental refresh, and query optimization.
Ensure secure, governed, auditable, and scalable data operations through effective access control and enterprise standards.
Skills Required
10+ years
of Data Engineering/Data Solution experience with
2+ years of Microsoft Fabric
expertise.
Strong proficiency in
Fabric OneLake, Lakehouse, Data Pipelines, Data Warehouse, medallion architecture, and workspace management
.
Experience in
hybrid/cross-cloud integration, real-time or streaming pipelines, workflow orchestration, and data security/RBAC
.
Strong knowledge of
Power BI, data modeling, partitioning, performance optimization, governance, audit, and compliance
.
Experience with
Azure DevOps, Git, CI/CD
; knowledge of ADF, Synapse, Event Hub, Kafka, or event-driven architectures is an advantage.
Strong analytical, problem-solving, communication, and stakeholder-management skills, with experience delivering solutions in
regulated/financial environments
preferred
ICON OUTSOURCING