Data Engineer- Snowflake +DBT

You are familiar with AWS and Azure Cloud. You have extensive knowledge of Snowflake, with SnowPro Core certification being a must-have. In at least one project, you have utilized DBT to deploy models in production. Furthermore, you have experience in configuring and deploying Airflow, integrating various operators in Airflow, especially DBT & Snowflake. Your capabilities also include designing build, release pipelines, and a solid understanding of the Azure DevOps Ecosystem. Proficiency in Python, particularly PySpark, allows you to write metadata-driven programs. You are well-versed in Data Vault (Raw, Business) and concepts such as Point In Time and Semantic Layer. In ambiguous situations, you demonstrate resilience and possess the ability to clearly articulate problems in a business-friendly manner. Documenting processes, managing artifacts, and evolving them over time are practices you believe in and adhere to diligently. Required Skills: data vault, dbt, python, snowflake, data, Azure Cloud, AWS, articulate, PySpark, concepts, Azure, Airflow, artifacts, Azure DevOps.,