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Production Specialist L3

Wipro


Job Location:

Bengaluru - India

Monthly Salary: Not provided by the employer
Posted: 11 August 2026 (23 days ago)
Application Deadline: 8 November 2026
Vacancies: 1 Vacancy

Job Summary

Wipro Limited (NYSE: WIT BSE: 507685 NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting design engineering and operations we help clients realize their boldest ambitions and build future-ready sustainable businesses. With over 230000 employees and business partners across 65 countries we deliver on the promise of helping our customers colleagues and communities thrive in an ever-changing world. For additional information visit us at .
Data automation Engineer L3

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
Data Automation Engineer L3

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

Deliver
NoPerformance ParameterMeasure
1ProcessNo. of cases resolved per day compliance to process and quality standards meeting process level SLAs Pulse score Customer feedback
2Self- ManagementProductivity efficiency absenteeism Training Hours No of technical training completed
Mandatory Skills: Content Mgt./ Web Publishing(Digital).

Experience: 5-8 Years.

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them we need people inspired by reinvention. Of yourself your career and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

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.

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