Description

You will design and build scalable data systems and pipelines within an Azure cloud environment.

This role is on-site.

Responsibilities

• Analyze and organize raw data to build scalable data pipelines.
• Migrate data from on-premises systems to cloud-based architectures.
• Develop ETL processes to support operational and business intelligence.
• Build and maintain data lakes and data warehouses.
• Manage data integration and workflow orchestration.

Required Skills

• Minimum 5 years of experience in a Data Engineering role.
• Extensive experience with Python, Apache Spark, PySpark, and SQL.
• Proficiency in Databricks and Snowflake.
• Hands-on experience with Azure Data Factory, Azure SQL, Azure Databricks, or Azure Synapse Analytics.
• Experience with data modeling and ETL process development.
• Experience with real-time data processing frameworks.
• Proven track record of building data systems on Azure.

Preferred Skills

• Experience with cloud-based solution architectures.

Key Skills

Education

Any Graduate