Azure Data Engineer

Key Responsibilities

Data Warehouse Development

•Design, develop, and maintain enterprise Data Warehouse solutions.

•Build and manage dimensional data models including Fact and Dimension tables.

•Implement Star Schema designs.

•Define and maintain enterprise data architecture standards.

Data Engineering & ETL

•Design and build ETL/ELT pipelines for structured and unstructured data sources.

•Develop scalable data ingestion, transformation, and integration frameworks.

•Ensure data quality, integrity, reconciliation, and validation.

•Implement automated data processing and orchestration workflows.

•Support batch and near real-time data processing requirements.

SQL & Data Optimization

•Develop and optimize complex SQL queries, stored procedures, functions, and views.

•Perform database tuning, query optimization, and performance monitoring.

•Ensure efficient storage utilization and processing performance across data platforms.

Cloud Data Platform Engineering

•Develop and support cloud-based data ecosystems.

•Build and maintain solutions using:

oAzure Data Factory (ADF)

oAzure Synapse Analytics

oAzure Data Lake Storage Gen2

oDatabricks

•Support migration and modernization of legacy data platforms.

Data Governance & Security

•Implement data governance, metadata management, lineage, and data quality standards.

•Ensure compliance with organizational security policies and regulatory requirements.

•Support audit readiness and data protection initiatives.