We are seeking a skilled Azure Data Engineer to design, develop, and maintain scalable cloud-based data solutions on the Microsoft Azure platform. The ideal candidate will have expertise in data integration, ETL/ELT pipelines, big data technologies, and cloud data warehousing to support analytics and business intelligence initiatives.

Key Responsibilities
Design and implement scalable data pipelines using Azure services.
Develop and maintain ETL/ELT workflows for structured and unstructured data.
Build and optimize data solutions using Azure cloud technologies.
Integrate data from multiple sources including APIs, databases, flat files, and streaming platforms.
Create and manage data lakes, data warehouses, and medallion architectures.
Ensure data quality, governance, security, and compliance standards.
Monitor and troubleshoot production data workflows and performance issues.
Collaborate with data analysts, DevOps,



and business stakeholders.
Implement CI/CD pipelines and infrastructure automation for data platforms.
Optimize SQL queries and improve overall data processing performance.

Requirements
Technical Skills
Robust experience with:
Azure Data Factory (ADF)
Azure Databricks
Azure Synapse Analytics
Azure Data Lake Storage (ADLS)
Azure SQL Database
Azure Functions
Azure Event Hub / Service Bus
Proficiency in:
SQL
Python / PySpark
Scala (optional)
Experience with:
ETL/ELT pipeline development
Data modeling and warehousing concepts
Spark-based distributed processing
REST APIs and data integration
Git, CI/CD, and DevOps practices

Advantages
Standard Company Perks

📌 Azure Data Engineer Hyderabad
🏢 DataEconomy
📍 Hyderabad