🚀 Senior Data Engineer – Snowflake & Azure

## Job Description# Senior Data Engineer – Snowflake & Azure* Design, develop, and optimize data pipelines and workflows using Azure Data Factory, Azure DevOps, and Python.* Architect and maintain scalable data models and integrations in Snowflake.* Collaborate with cross-functional teams to understand data needs and deliver robust, reusable solutions.* Implement and manage CI/CD pipelines for data engineering projects.* Ensure data quality, governance, and security across all layers of the data stack.* Support internal teams by facilitating seamless data access and integration with their tools (e.g., PowerBI, CRM, marketing platforms).* Work with authoritative data systems to ensure consistency, lineage, and trust in enterprise-wide data assets.* Explore and apply Vibe coding techniques to enhance data storytelling and user engagement.* Leverage AI tools to improve data workflows, automate processes, and support advanced analytics initiatives.* Utilize modern IDEs (e.g., VS Code, PyCharm, IntelliJ) to streamline development, debugging, and collaboration.* 5+ years of experience in data engineering or related field.* Strong proficiency in Snowflake, including performance tuning, data modeling, and SQL scripting.* Hands-on experience with Azure cloud services, especially Azure Data Factory, Azure DevOps, and CI/CD pipeline management.* Advanced Python skills for data processing, automation, and API integrations.* Experience working with authoritative data systems and implementing data governance best practices.* Familiarity with Vibe coding—creative coding approaches that enhance user experience or data presentation.* Experience working with modern IDEs for efficient development and debugging.* Proven ability to work collaboratively in a fast-paced, agile environment.* Excellent communication skills and a user-centric mindset.* Experience with PowerBI or other BI tools.* Knowledge of data governance frameworks and metadata management.* Background in SaaS or cloud-native environments.* Experience with AI tools such as machine learning platforms, generative AI, or intelligent automation frameworks.* Contributions to open-source projects or personal coding portfolios demonstrating Vibe coding.
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