Description

You will design, implement, and maintain data solutions and scalable architectures using Azure cloud services.

Responsibilities

• Design and build ETL processes and optimize data pipelines to ensure data quality and security.
• Manage data lakes and implement data governance frameworks, including data ownership and privacy compliance.
• Develop security protocols on the Azure platform, covering identity management, network security, and encryption.
• Execute data cataloging, lineage tracking, and metadata management tasks.
• Write, modify, and interpret complex SQL queries and scripts to support analytics.

Required Skills

• 5+ years of experience in data engineering roles.
• Databricks Data Engineer Professional Certificate (Required).
• Hands-on experience with Azure Data Factory, Databricks, and Data Lake.
• Advanced SQL skills for data manipulation and querying.
• Proficiency in Python for scripting and automation.
• Experience building reports and visualizations in Power BI.
• Understanding of Azure security, including serverless architecture and secure data communication.
• Experience with ETL processes and data governance strategies.

Preferred Skills

• Databricks Machine Learning Certificate.
• Azure certifications such as Azure Security Engineer Associate or Azure Solutions Architect Expert.
• Experience with .NET, C#, or SSIS.
• Knowledge of Azure Synapse Analytics, Azure Cosmos DB, Azure SQL Database, or Azure ML.
• Experience with Azure Logic Apps and Azure Report Server.

Key Skills

Education

Any Graduate