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Azure Fabric Lead

  • Source: Indeed
  • Hirezy
  • On-site
  • State of Telangāna, India
  • Full-Time
  • Senior

Job Description

Job Overview

We are seeking an experienced Azure Fabric Lead to manage and support high-volume, mission-critical applications. The ideal candidate will possess strong technical expertise and leadership skills to oversee the design, development, and operational support of large-scale data platforms.

Roles & Responsibilities

  • Lead the design, development, and support of large-scale data platforms using Azure technologies.
  • Develop, optimize, and maintain complex ETL/ELT pipelines.
  • Assess existing applications for architectural enhancements.
  • Recommend best practices for cloud-native data architecture.
  • Conduct solution design reviews and collaborate with architects.
  • Manage mission-critical applications ensuring uninterrupted operations.
  • Lead triage calls with stakeholders to facilitate incident response.
  • Utilize knowledge of Docker and Kubernetes for containerized deployments.
  • Manage data virtualization platforms for improved data accessibility.
  • Maintain operational governance and promote continuous improvement.
  • Lead and mentor data engineering/operations teams.
  • Work in rotational shifts to support 24/7 operational needs.

Requirements

  • Minimum 8 years of experience with Azure technologies and data solutions.
  • 5+ years of experience in Data Engineering roles.
  • Hands-on experience with Azure Data Factory, Azure Databricks, Azure DevOps, and SQL/Synapse data warehouse.
  • Desirable skills include experience with data virtualization platforms like Denodo.
  • Certifications in Azure Data Engineering or Solutions Architect are a plus.
  • Strong understanding of container platforms like Docker/Kubernetes.
  • Excellent troubleshooting, problem-solving, and communication skills.
  • Ability to manage customer expectations and handle escalations.
  • Good understanding of ITIL processes.

Pay: ₹800,000.00 - ₹2,000,000.00 per year

Work Location: In person

Skills

  • microsoft-azure
  • Docker
  • Kubernetes
  • azure-data-factory
  • azure-databricks
  • databricks
  • azure-devops
  • azure-synapse
  • denodo
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