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.