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Role Overview:
- Senior Data Engineer working in a cross-functional delivery team on AWS data solutions.
- Define RDS data sources, develop ETL jobs, and manage Databricks lakehouse platforms.
- Participate in daily standups, agile ceremonies, and weekly 1:1s with manager.
Technical Requirements:
- Strong experience building scalable cloud-native data platforms and pipelines.
- Hands-on with Spark/PySpark, Databricks (notebooks, Delta Lake, Unity Catalog), and streaming patterns.
- Expertise in relational databases, query optimization, and large-scale migrations.
Experience and Benefits:
- Minimum 4 years in big data engineering, 2+ years AWS, 1+ years Databricks.
- Full remote work with generous holidays, competitive phantom equity, and paid exams.
- Annual learning stipend, professional development plan, and supportive corporate culture.
Caylent
Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. As a fully remote global company with employees in Canada, the United States, and Latin America, they celebrate diverse cultures and foster a community of technological curiosity.