Senior Data Engineer

About the role

We are seeking an experienced Senior Data Engineer to design, develop, and manage modern data platforms, scalable data pipelines, and cloud-based analytics solutions. The ideal candidate will have strong hands-on expertise in Microsoft Azure Data Services, large-scale data processing, data warehousing, ETL/ELT frameworks, and cloud-native data architectures.

What you'll do

• Design, develop, and maintain scalable data platforms and data pipelines using Microsoft Azure services
• Build and optimize batch and real-time data ingestion frameworks for structured, semi-structured, and unstructured data sources
• Design and implement data lake, data warehouse, and lakehouse architectures to support analytics and reporting requirements
• Develop, manage, and optimize ETL/ELT pipelines using modern cloud-native data engineering practices
• Implement data transformation, cleansing, validation, and data quality frameworks to ensure data accuracy and consistency

What you need

• 6–10 yrs of experience
• SQL
• ETL
• Data warehousing
• Machine learning
• Spark
• Azure Data Factory
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Python
• Scala
• Java
• MLOps
• LLMs
• Databricks