Walk-in || Azure Data Engineer

Role & responsibilities

Azure Databricks, PySpark, Azure Data Factory

Responsibilities

• Design, develop, and maintain data pipelines using Azure Data Factory.
• Manage and optimize data storage using Azure Data Lake Gen 2.
• Build and process large-scale data solutions with Azure Databricks and Apache Spark.
• Create interactive reports and dashboards in Power BI for business insights.
• Collaborate with cross-functional IT and business teams to translate requirements into data solutions.
• Ensure data quality, security, and compliance in line with organizational standards.

Core Skills Required

• Azure Data Factory: Experience in building and managing data pipelines.
• Azure Data Lake Gen 2: Proficient in data storage and management within Azure's data lake environment.
• Azure Databricks / Apache Spark: Hands-on skill with distributed data processing, transformations, and analytics.