Job Description 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.