Description

You will build and maintain data pipelines using Azure services.

Responsibilities

• Design and implement ETL processes and data ingestion pipelines.
• Develop data solutions leveraging Azure Data Factory and Azure Databricks.
• Manage and process large datasets using PySpark and SQL.
• Integrate data into Azure SQL Database and Azure Data Lake.

Required Skills

• 5+ years of relevant experience in Data Engineering.
• Strong coding expertise in Python, PySpark, and SQL.
• Hands-on experience with Azure Data Factory.
• Proficiency with Azure Databricks and Azure Data Lake.
• Experience implementing ETL Processes.
• Familiarity with Apache Spark and Big Data technologies.
• Knowledge of Azure SQL Database.
• Exposure to Azure DevOps.
• Excellent communication skills for stakeholder interaction.

Key Skills

Education

Any Graduate