
Data Engineering Specialist
1 day ago
This role involves leading the design and delivery of semantic data models in a cloud-based environment, specifically utilizing Snowflake for data warehousing and business intelligence.
- Key Responsibilities:
- Leverage advanced Snowflake features to drive business growth through data-driven decision making.
- Collaborate with cross-functional teams to implement data governance frameworks and ensure data security best practices.
- Design and deliver semantic data models that integrate seamlessly with Power BI and other business intelligence tools.
- Develop and maintain ETL/ELT patterns to support data transformations and loading.
- Stay up-to-date with the latest Snowflake features and technologies, including Snowpark and marketplace.
About Us:
We are seeking an experienced Data Engineering Specialist who can lead our Snowflake implementation and help us make data-driven decisions. The ideal candidate will have a strong background in data engineering, Snowflake implementation, and cloud architecture.
- Requirements:
- 5+ years of experience in data engineering with at least 3 years in Snowflake implementation.
- Strong knowledge of Snowflake's latest features, including Snowpark and marketplace.
- Proven ability to design and deliver semantic data models that integrate with Power BI and other business intelligence tools.
- Hands-on expertise in cloud architecture, including Azure, AWS, or GCP.
- Strong background in DevOps, CI/CD pipelines, and automation frameworks.
Benefits:
We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.
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