T
Tata Consultancy Services
Microsoft Fabric - Senior Data Engineer
Skills
Big DataPythonGitData AnalysisAnsibleCompliancePower BITerraformAzure
2 months ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
25 August 2026
What they need
- Design & Architecture: Lead the design and implementation of scalable data pipelines, data warehouses, and enterprise-grade data solutions leveraging Microsoft Fabric.
- Data Pipeline Development: Develop and optimize complex ETL/ELT processes to ingest, transform, and load data from various sources into the Fabric environment.
- Data Governance & Security: Establish and enforce data integrity, quality, and security best practices, including workspace architecture, user access controls, and compliance with privacy regulations.
- Data Modeling & Reporting: Build and maintain semantic data models and interactive dashboards using Fabric tools and Power BI.
- Collaboration: Translate business requirements into technical solutions by working closely with data scientists, analysts, and business stakeholders.
- Platform Management: Architect and manage Fabric workspaces, user roles, permissions, and licenses to ensure efficient and secure operations.
- Monitoring & Optimization: Proactively monitor, troubleshoot, and fine-tune data pipelines and workflows for peak performance and efficiency.
- DevOps & Automation: Integrate DevOps practices, including CI/CD pipelines, version control, and automation using scripting languages like Python or PowerShell.
- Mentorship: Provide technical leadership and mentorship to junior engineers, transferring knowledge on Microsoft Fabric technologies and best practices.
- Key Technologies & Concepts
- Microsoft Fabric: The core platform for modern data analytics.
- Azure Data Factory & Synapse Analytics: Tools used for data integration and big data analytics within Fabric.
- OneLake: The unified data lake within Microsoft Fabric for storing and managing all types of data.
- Power BI: Used for building interactive dashboards and reports.
- Medallion Architecture: An architectural pattern for building clean and organized data lakes.
- Microsoft Purview: For data governance and compliance.
- Python & PowerShell: For automation and scripting.
- Terraform & Ansible: For Infrastructure as Code (IaC)
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