Azure Data Engineer

Key Responsibilities • Design, develop, and maintain scalable data pipelines using Azure Data Factory / Azure Data Pipelines (ADT). • Build and optimize ETL workflows to extract, transform, and load data from multiple structured and unstructured sources. • Develop data integration services and backend components using .NET (C#). • Write and optimize complex SQL queries, stored procedures, and performance-tuned database solutions. • Implement data quality checks, validation frameworks, and monitoring dashboards. • Work with cross-functional teams (Data Analysts, Architects, DevOps) to understand data needs and deliver robust solutions. • Ensure data security, compliance, and governance across pipelines and storage layers. • Troubleshoot data pipeline issues and drive root-cause analysis and resolutions. • Contribute to architecture discussions and recommend improvements for performance, scalability, and cost efficiency. Required Skills & Qualifications • 8+ years of professional experience as a Data Engineer or similar role. • Strong programming skills in .NET / C# for backend or data integration components. • Deep expertise in SQL including query optimization, indexing, stored procedures, and relational database concepts. • Proven experience building ETL pipelines and data workflows. • Hands-on experience with Azure Data Factory / Azure Data Pipelines (ADT) (heavy/advanced experience required). • Knowledge of Azure storage services such as Azure SQL DB, Synapse, Data Lake Storage (ADLS), Blob Storage. • Familiarity with CI/CD pipelines, Git, and deployment automation. • Understanding of data modeling concepts (star schema, snowflake, SCD, normalization).