Job Summary

We are seeking a highly skilled
Senior Azure Data Engineer
to design, develop, and optimize scalable data solutions on the Microsoft Azure platform. The ideal candidate will have robust hands-on experience with
Azure Databricks, Delta Lake, SQL, PySpark, and Azure Data Services
, along with expertise in building robust ETL/ELT pipelines and up-to-date data lake architectures. Exposure to AI/ML data platforms will be an added advantage.

Key Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines using Azure services.
Build and optimize data processing workflows using Azure Databricks and PySpark.
Implement and manage Delta Lake-based data architectures.
Develop and optimize SQL queries, stored procedures, and data models.
Ingest, transform, and process large volumes of structured and semi-structured data.
Work with ADLS Gen2, Azure Data Factory (ADF), and Azure Synapse Analytics.
Ensure data quality, governance, security, and performance optimization.
Collaborate with BI, Analytics,



and Data Science teams to deliver reliable datasets.
Implement CI/CD processes and support deployment automation.
Troubleshoot production issues and optimize data pipelines for performance and scalability.

Mandatory Skills
Azure Databricks
Delta Lake
SQL
PySpark
Azure Data Factory (ADF)
ADLS Gen2
Azure Data Engineering
ETL/ELT Pipeline Development
Data Warehousing Concepts
Azure Synapse Analytics

Preferred Skills
AI/ML Data Engineering Exposure
MLflow
Feature Store
Microsoft Fabric
Data Governance Tools
Power BI
Azure DevOps & CI/CD

Required Qualifications
Bachelor's degree in Computer Science, Information Technology, or a related field.
Minimum 5 years of hands-on experience in Azure Data Engineering.
Solid expertise in Azure Databricks, Delta Lake, SQL, and PySpark.
Experience working with large-scale enterprise data platforms.
Excellent analytical and problem-solving skills.

📌 Sr Azure Data Engineer Bengaluru
🏢 VAYUZ Technologies
📍 Bengaluru