Senior Data Engineer – Snowflake & Azure

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Job Description # Senior Data Engineer – Snowflake & Azure
* Design, develop, and optimize data pipelines and workflows using Azure Data Factory, Azure Dev Ops, 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., Power

BI, 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, Intelli

J) 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 Dev Ops, 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 Power

BI 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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