Description :

Lead Data Engineer (Azure)

Role Summary : Lead the technical design and delivery of scalable data solutions on the Microsoft Azure platform. You will combine strong hands-on development with technical leadership, guiding a team of engineers to deliver high-quality data architecture.

Core Responsibilities :

- Architecture & Design : Design secure, cost-efficient data lakes and warehouses using cloud-native Azure services.

- Team Leadership : Mentor engineers (team of 5+), conduct code reviews, and oversee technical project delivery.

- Development : Build and optimize robust data pipelines using Python, PySpark, and SQL.

- Operations : Implement CI/CD pipelines (DevOps), ensure data quality/governance, and maintain technical documentation.

Requirements :

- Experience : 6+ years of hands-on Data Engineering experience, with prior experience leading or mentoring teams.

- Azure Stack : Deep expertise in ADF, Databricks, Synapse, Event Hubs, Stream Analytics, and ADLS.

- Technical Skills : Strong proficiency in SQL, Python/PySpark, Relational & Dimensional Data Modeling, and NoSQL.

- Process : Mastery of Git, CI/CD, and Agile project management.

Nice to Have :

- Azure Data Engineering Certifications.

- Experience with Azure Logic Apps, API Management, or PowerBI.