Build and optimize data pipelines and systems for real-time insights at scale.
Collaborate with data scientists, analysts, and engineers to ensure data accessibility and
Design scalable solutions to ingest, process, and analyze vast transaction data.
Contribute to architecture discussions and promote best practices in cloud data engineering.

🎯 Requirements

5+ years in data engineering or data-centric software roles
Expert Python for data processing and pipeline development
Deep experience with AWS DynamoDB including modeling and tuning
Strong understanding of ETL/ELT for batch and streaming workloads
Experience with NoSQL databases; ability to design scalable data models

🎁 Benefits

Competitive compensation
Professional development opportunities
Flexible work arrangements

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