Azure Data Engineer

Job Description:

We are seeking an experienced Azure Data Engineer to design, develop, and optimize data solutions on the Azure cloud platform. The ideal candidate should have a minimum of good years of experience in Azure data engineering and expertise in building scalable and efficient data pipelines.

Key Responsibilities:

Design and implement end-to-end data pipelines using Azure Data Factory, Databricks, and PySpark.

Develop and maintain data integration, transformation, and processing workflows for large-scale datasets.

Work with Python and SQL to create efficient data models, queries, and ETL processes.

Optimize performance, security, and cost-efficiency of Azure-based data solutions.

Collaborate with data analysts, business teams, and other stakeholders to deliver high-quality data solutions.

Ensure compliance with best practices in data governance, security, and performance optimization.

Key Skills & Technologies:

Data Engineering & ETL Development

Azure Data Factory (ADF)

Azure Databricks & PySpark

Python & SQL

Cloud Data Storage & Processing (Azure Data Lake, Synapse Analytics, etc.)

Performance Optimization & Data Governance