Senior Data Engineer implementing data management solutions on AWS for Caylent customers.
Define RDS data sources, develop ETL jobs, and manage data warehouses and lakehouse platforms
Participate in daily standups and agile ceremonies; 1:1 with manager for career guidance.

🎯 Requirements

4+ years of RDBMS or big data engineering experience
2+ years of AWS-based implementations
1+ years of hands-on Databricks experience (or equivalent lakehouse platform)
Strong experience building scalable cloud-native data platforms and pipelines
Advanced knowledge of modern data lake/lakehouse practices
Hands-on experience with distributed processing (Spark/PySpark or equivalent)

🎁 Benefits

100% remote work
Generous holidays and flexible PTO
Competitive phantom equity
Paid for exams and certifications
Peer bonus awards
State of the art laptop and tools

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