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-effective 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 : Robust 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.
📌 Data Engineer/Lead Data Engineer - Azure Cloud (India)
🏢 Spectrum Consulting
📍 India
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