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4 days ago
**Data Engineering Leadership Opportunity**
Our organization is seeking a seasoned Data Engineer to lead our data engineering initiatives. The ideal candidate will have a strong background in enterprise-level data engineering, with expertise in OLAP design and deep understanding of data warehousing concepts.
- We are looking for someone with 8+ years of experience in Enterprise-level Data Engineering roles.
- The successful candidate will possess expertise in OLAP design, star/snowflake schema, ETL/ELT processes, normalization/denormalization, and data modeling.
- They should also have expertise in writing complex SQL queries, including joins, window functions, and optimization techniques.
- A hands-on experience with Snowflake: warehouses, data ingestion with snow pipe, external integrations, views & tables, UDFs, procedures, streams, tasks, and serverless architecture is required.
- Familiarity with Snowflake-specific features, including clustering, partitioning, and schema design best practices is highly desired.
- A strong verbal and written communication skill set is essential for collaborating with technical teams and business stakeholders.
**Key Responsibilities:**
- Lead data engineering teams and drive strategic initiatives.
- Design and implement scalable data architectures.
- Develop and maintain high-quality code.
- Collaborate with cross-functional teams to ensure alignment and success.
**Requirements:**
- A Bachelor's degree or relevant experience.
- Relevant certifications (e.g., Snowpro).
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