Snowflake Data Engineer

Job Description: - Design, develop, and maintain scalable data pipelines using Azure Data Factory and Snowflake. - Build and optimize ETL/ELT workflows for structured and semi-structured data. - Develop and manage Snowflake objects including Warehouses, Databases, Schemas, Views, Stored Procedures, Streams, Tasks, and Snowpipe. - Implement data ingestion and transformation frameworks from multiple source systems. - Develop CDC and incremental data loading solutions. - Design and maintain Star Schema and Snowflake Schema data models. - Implement data quality, validation, reconciliation, and monitoring processes. - Perform Snowflake performance tuning and optimize data processing. - Develop interactive Power BI dashboards, reports, and semantic models. - Create reusable datasets, KPIs, metrics, and executive reporting solutions. - Collaborate with business stakeholders to understand analytical and reporting requirements. - Troubleshoot pipeline failures and resolve production issues. - Participate in CI/CD deployments, release management, and production support. - Follow best practices for data security, governance, documentation, and maintainability.