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- Collaborate with technical teams to deliver multiple data initiatives simultaneously from planning through execution.
- Design, develop, and optimize scalable data solutions using Python, Snowflake, and SQL.
- Architect modern data pipelines, data warehouse solutions, and analytics platforms aligned with business needs.
Requirements:
- 10–15 years of experience in Data Engineering, Data Architecture, or related technical roles.
- Strong hands-on experience with Python, Snowflake, and SQL for data engineering solutions.
- Experience designing scalable data pipelines and translating business requirements into technical architectures.
Benefits:
- Competitive salary package aligned with experience and technical expertise.
- Fully remote work opportunity with flexibility to collaborate globally.
- Opportunity to lead impactful data architecture and engineering initiatives.
Partner Company
The partner company focuses on data-driven solutions and modern data engineering. The company size is not disclosed, but it offers remote work and collaboration with global teams.