Description

You will build and manage scalable data systems and pipelines on the Azure cloud platform.

Responsibilities

• Analyze and organize raw data to design scalable data architectures.
• Migrate legacy on-premises data systems to Azure-based cloud solutions.
• Develop and maintain ETL processes supporting operational and business intelligence needs.
• Build and manage data lakes and warehouses using Azure services.
• Implement data integration strategies and workflow orchestration.

Required Skills

• 5+ years of professional experience in a Data Engineering role.
• Extensive proficiency in Python, PySpark, and Apache Spark.
• Strong command of SQL for data manipulation and querying.
• Hands-on experience with Azure Data Factory, Azure Data Lake, Azure SQL, Azure Databricks, and Azure Synapse Analytics.
• Experience with Snowflake and data modeling practices.
• Deep understanding of ETL processes and data integration patterns.
• Knowledge of real-time data processing frameworks.
• Cloud platform expertise, specifically within the Microsoft Azure ecosystem.

Preferred Skills

• Experience with real-time data processing frameworks.

Key Skills

Education

Any Graduate