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Azure + Databricks

Azure + Databricks

PwC Indiaalwar, rajasthan, in
1 day ago
Job description

Job Title : Azure Data Engineer

Experience : 8 to 12 years

Location : Mumbai (only)

Job Summary :

As a Manager in the Data Engineering practice, you will lead teams and client engagements to design, architect, and deliver enterprise-grade data platforms. You’ll drive data modernization initiatives involving data lakes, warehouses, and lakehouses on Azure, AWS, and Databricks. This role demands strategic leadership, hands-on technical depth, and client management experience.

Roles & Responsibilities :

  • Architect and oversee end-to-end data engineering solutions for large-scale enterprise clients.
  • Design data lakehouse, data warehouse, and data integration frameworks using Azure, Databricks, and other cloud platforms.
  • Lead teams in building scalable, secure, and high-performing data pipelines.
  • Define best practices for data governance, lineage, quality, and cost optimization.
  • Collaborate with client leadership to shape data strategy and modernization roadmaps.
  • Provide technical mentorship to Senior Associates and Associates.
  • Manage project delivery, timelines, budgets, and resource allocation.
  • Stay updated with emerging tools in data engineering and recommend adoption.

Skills Required :

  • 8–12 years of experience in data engineering with proven leadership in project delivery.
  • Strong expertise in Azure ecosystem (ADF, Databricks, Synapse, ADLS).
  • Experience designing and deploying data lakehouse and ETL architectures.
  • Hands-on knowledge of PySpark, SQL, Python, and cloud data architecture.
  • Working knowledge of AWS or GCP data services is a plus.
  • Strong understanding of data governance, security, and DevOps for data.
  • Excellent client management, communication, and leadership skills.
  • Cloud certifications (Azure Data Engineer, Databricks) preferred.
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