Description

You will lead and manage operational data across the organization, ensuring accuracy, consistency, and accessibility.

Responsibilities

• Design and implement data storage solutions using Azure SQL Database, Azure Cosmos DB, and Azure Data Lake Storage.
• Build and maintain scalable ETL pipelines using Azure Data Factory and Azure Databricks.
• Develop optimized database structures and complex SQL queries for high-performance data retrieval.
• Automate data processing and workflows using Python and PowerShell scripting.
• Establish data governance policies, security measures, and encryption strategies to ensure compliance.
• Monitor and optimize data pipelines and storage for performance and cost-efficiency.

Required Skills

• 8+ years of experience in data engineering and storage design.
• Hands-on expertise with Azure services, specifically Azure Data Lake, Azure SQL Database, and Azure Cosmos DB.
• Proven experience building data pipelines with Azure Data Factory or Azure Databricks.
• Strong proficiency in SQL for complex query optimization and database management.
• Advanced scripting skills in Python and PowerShell.
• Deep understanding of ETL processes and data architecture best practices.
• Experience managing cloud-based storage on both Azure and AWS.
• Ability to use Power Query, Power Pivot, and VBA for data organization and automation.
• Any Graduate degree.

Preferred Skills

• Cloud certifications in Azure or AWS.
• Experience with advanced data visualization tools.

Key Skills

Education

Any Graduate