Snowflake dbt Azure ADF - 29 May (Friday) -Virtual Interview

Job description

**Responsibilities** **Data Engineering** - Collaborate with Solution Architects to understand Data Products design to enable efficient build - Develop build solution that encompasses transformation, storage, consumption, security and write back - Take ownership for the technical build and testing **End-to-End Solution Design and Build** - Responsible for building complex custom Data Products - Ensure efficient and reliable data movement from source systems to data warehouses - Ensure adherence to IT principles and architecture mandates - Collaborate with security and infrastructure teams to address platform enablement and controls **Required Skills** - Proficiency in designing and developing data models, schemas, and queries within theSnowflake Cloud Data Warehouse - Hands-on experience with Microsoft Azure Cloud, specifically: - Azure Data Factory (ADF) for data ingestion, orchestration, and pipeline automation - Azure Blob Storage for raw, staged, and curated data storage - Knowledge of APIs and streaming data concepts to support near-real-time and event-driven integrations - Expertise in building and optimizing SQL in Snowflake - Experience with CI/CD practices, including Git-based version control, and dbt (Data Build Tool) for data transformation and testing - Understanding of the principles behind thedata meshapproach and its implications for modern data architecture - Expertise in building and optimizing data pipelines for reliability and performance using Snowflake and SQL