Production Specialist L3
Job Summary
Key Responsibilities:
- Validate business requirements data specifications and technical documentation providing strategic feedback to drive continual improvement and innovation in data delivery.
- Provide the development implementation and continual improvement of data visualization and reporting processes transitioning from manual reporting to automated Power BI and Microsoft Fabric-driven solutions.
- Support the integration and management of data sources leveraging Power BI and Microsoft Fabric to automate data extraction transformation loading and visualization in support of business initiatives.
- Collaborate with lead operational data architects and data analysts to proactively identify data-related challenges and deliver adaptive technology-driven and innovative solutions to business pain points.
- This role covers end-to-end data engineering semantic modeling and reporting delivery in a production-scale environment
- Design and implement Microsoft Fabric Lakehouse architecture using Bronze/Silver/Gold (medallion) patterns
- Build and orchestrate pipelines using Fabric Data Factory
- Model optimized star schemas and design Power BI semantic models
- Apply data quality checks governance standards and documentation/runbooks
- Configure Row-Level Security (RLS) and enterprise security controls
- Manage monitoring alerting and reliability of production workloads
- Support Dev/Test/Prod deployments using Fabric Workspaces and Deployment Pipelines
Role Purpose
Key Responsibilities:
- Validate business requirements data specifications and technical documentation providing strategic feedback to drive continual improvement and innovation in data delivery.
- Provide the development implementation and continual improvement of data visualization and reporting processes transitioning from manual reporting to automated Power BI and Microsoft Fabric-driven solutions.
- Support the integration and management of data sources leveraging Power BI and Microsoft Fabric to automate data extraction transformation loading and visualization in support of business initiatives.
- Collaborate with lead operational data architects and data analysts to proactively identify data-related challenges and deliver adaptive technology-driven and innovative solutions to business pain points.
- This role covers end-to-end data engineering semantic modeling and reporting delivery in a production-scale environment
- Design and implement Microsoft Fabric Lakehouse architecture using Bronze/Silver/Gold (medallion) patterns
- Build and orchestrate pipelines using Fabric Data Factory
- Model optimized star schemas and design Power BI semantic models
- Apply data quality checks governance standards and documentation/runbooks
- Configure Row-Level Security (RLS) and enterprise security controls
- Manage monitoring alerting and reliability of production workloads
- Support Dev/Test/Prod deployments using Fabric Workspaces and Deployment Pipelines
Required Qualifications:
- 5 years of experience in data analytics or business intelligence roles
- 3 years experience with Power BI
- 2 years of Microsoft Fabric
Preferred Qualifications:
- Microsoft Certified: Power BI Data Analyst Associate or Fabric Analytic Engineer Associate
- API integration for analytics (authentication pagination throttling)
- Microsoft Fabric (Workspaces Pipelines OneLake Notebooks SQL Analytics)
- Previous experience or exposure designing monitoring and supporting Agents in Fabric
- Real Time Intelligence with Fabric
Required Qualifications:
- 5 years of experience in data analytics or business intelligence roles
- 3 years experience with Power BI
- 2 years of Microsoft Fabric
Preferred Qualifications:
- Microsoft Certified: Power BI Data Analyst Associate or Fabric Analytic Engineer Associate
- API integration for analytics (authentication pagination throttling)
- Microsoft Fabric (Workspaces Pipelines OneLake Notebooks SQL Analytics)
- Previous experience or exposure designing monitoring and supporting Agents in Fabric
- Real Time Intelligence with Fabric
| No | Performance Parameter | Measure |
| 1 | Process | No. of cases resolved per day compliance to process and quality standards meeting process level SLAs Pulse score Customer feedback |
| 2 | Self- Management | Productivity efficiency absenteeism Training Hours No of technical training completed |
Required Experience:
IC
About Company
As a global leader, Wipro blends consulting and AI expertise across design, engineering and operations to accelerate business transformation and deliver future-ready technology.