Azure Data Engineer

Data Warehouse Development

• Design, develop, and maintain enterprise Data Warehouse solutions.
• Build and manage dimensional data models including Fact and Dimension tables using Star Schema designs.
• Define and uphold enterprise data architecture standards.

Data Engineering & ETL/ELT

• Create robust pipelines for structured and unstructured data sources.
• Develop scalable frameworks for ingestion, transformation, and integration of data assets.
• Ensure high data quality, integrity, reconciliation, and validation across platforms.
• Implement automated processing workflows supporting batch and near real-time requirements.

SQL & Data Optimization

• Develop and optimize complex SQL queries, stored procedures, functions, and views for performance.
• Perform database tuning to ensure efficient storage utilization and processing speed.

Cloud Data Platform Engineering (Azure Ecosystem)

• Leverage Azure Data Factory (ADF), Azure Synapse Analytics, Azure Data Lake Storage Gen2, and Databricks to build data ecosystems.
• Support migration and modernization of legacy data platforms.

Data Governance & Security

• Implement governance policies covering metadata management, lineage tracking, and quality standards.
• Ensure strict compliance with organizational security protocols and regulatory requirements (GDPR/CCPA).
• Support audit readiness and comprehensive data protection initiatives.