Roles and Responsibilities

• Design, implement, and maintain data solutions using Azure cloud services.
• Develop ETL processes, optimize data pipelines, and ensure data quality and security.
• Build and maintain ETL pipelines and manage data lakes to support analytics and business intelligence.
• Create insightful reports and visualizations using Power BI.
• Ensure security best practices are followed on the Azure platform, including identity and access management, network security, encryption, and securing serverless architectures.
• Implement data governance frameworks, define data ownership, ensure data quality, and enforce privacy and compliance standards.
• Experience in data cataloging, lineage, and metadata management is essential.
• Work closely with cross-functional teams to design scalable data architectures that support analytics and business intelligence.

Required Skills

• Strong ability to write and modify SQL queries.
• Experience with Azure Data Factory, Databricks, Power BI, Azure SQL Database, Azure Synapse Analytics, and Azure Cosmos DB.
• Proficiency in Python for data engineering tasks.
• Strong understanding of security protocols within the Azure platform (network security, encryption, secure communication, etc.).
• Knowledge of data governance strategies, data privacy, and compliance.
• Certifications:
• • Databricks Certified Data Engineer Associate is required.
  • Azure Security Engineer Associate or Azure Solutions Architect Expert is highly desirable.
  • Databricks Machine Learning Certification is a plus.

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