Description

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

Responsibilities

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

Required Skills

• 5+ years of experience in a Data Engineering role.
• Extensive experience with Python, Spark, and SQL.
• Proficiency in PySpark and Apache Spark.
• Experience with Databricks and Snowflake Data Modeling.
• Hands-on experience with Azure Data Lake, Azure Data Factory, Azure SQL, Azure Databricks, and Azure Synapse Analytics.
• Strong understanding of ETL processes and data integration.
• Experience with real-time data processing frameworks.
• Cloud platform expertise, specifically within Azure.
• Any Graduate degree.

Key Skills

Education

Any Graduate