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Data Engineer Advisor

NTT DATA nttdata.com Open
Bangalore Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at NTT DATA. Bangalore.

Pay not stated Data Engineering salary

RoleData Engineering
SeniorityMid-level
LocationBangalore
PostedOct 23, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Set up Fabric workspaces, capacities and platform resources according to approved architecture
  • Apply workspace layouts, permissions, environment settings and naming rules
  • Configure OneLake shortcuts, platform connections, monitoring, alerts and health checks
  • Track capacity use, investigate performance issues and automate recurring administration tasks
  • Resolve configuration and access problems while maintaining runbooks and deployment records

What you bring

  • At least five years in IT, including three years in cloud platform engineering, data platform administration or a related technical role
  • Practical experience administering Microsoft Fabric workspaces and configuring the platform
  • Knowledge of Fabric capacities, OneLake, Lakehouse, Warehouse, access controls and workspace permissions
  • Experience with monitoring and troubleshooting, plus scripting in PowerShell, Python or a similar language

Who this fits

This role suits a mid-career platform engineer who can turn approved architecture into a working, supportable Fabric environment. You’ll work with an architect, DevOps engineer, data engineers and QA engineer on deployment and production readiness.

From the employer

Role: Fabric Platform Engineer

Total Experience: 5+ years
Relevant Experience: 3+ years

Role Overview

The Fabric Platform Engineer will implement and configure the Microsoft Fabric platform foundation, including workspaces, platform settings, OneLake shortcuts, monitoring and operational setup. The role will translate approved architecture and platform standards into a secure, reliable and operationally ready environment.

Key Responsibilities

  • Provision and configure Microsoft Fabric workspaces, capacities and platform resources in line with approved architecture.
  • Implement workspace structures, access permissions, environment configurations and naming conventions.
  • Configure OneLake shortcuts and required platform connectivity and integration settings.
  • Support Fabric tenant and workspace administration, including relevant configuration and access management.
  • Implement platform monitoring, operational dashboards, alerting and health checks.
  • Support capacity utilisation monitoring, performance troubleshooting and resource optimisation.
  • Configure and validate platform settings required for development, testing, UAT and production.
  • Develop routine operational scripts and automation for platform administration and repetitive activities.
  • Troubleshoot platform configuration, connectivity, permission and operational issues.
  • Maintain platform runbooks, configuration records, operational procedures and support documentation.
  • Collaborate with the architect, DevOps engineer, data engineers and QA engineer to support deployment and production readiness.

Required Skills and Experience

  • 5+ years of overall IT experience, including 3+ years in cloud platform engineering, data platform administration or a related technical role.
  • Hands-on experience with Microsoft Fabric workspace administration and platform configuration.
  • Understanding of Fabric capacities, workspaces, OneLake, Lakehouse, Warehouse and shortcuts.
  • Experience with access control, Microsoft Entra ID, workspace roles and permissions.
  • Familiarity with Azure services, networking, connectivity and security fundamentals.
  • Experience with monitoring, logging, troubleshooting and operational support.
  • Working knowledge of PowerShell, Python or similar scripting for routine administration.
  • Understanding of development and production environment separation and platform operational procedures.

Preferred: Microsoft Fabric or Azure certifications and experience supporting enterprise cloud data platforms.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.