Senior Data Engineering Role for High-Throughput Systems
7 days ago
Sicitacorp is looking for an experienced Senior Data Engineer to lead the development of high-throughput systems for processing large datasets.
In this role, you will design, implement, and maintain scalable ETL pipelines using Python, C++, SQL, and RDBMS, with a focus on high-performance databases on on-premises infrastructure.
The ideal candidate will have expertise in data governance, versioning, auditing, rollback, and DevSecOps practices, as well as experience with containerization and orchestration solutions using Docker and Kubernetes.
You should be skilled at handling sudden, large volumes of data while maintaining performance and designing strategies for managing backpressure to prevent system overload during high data volumes.
A minimum of 4 years of experience building and maintaining data pipelines/ETL solutions at scale is required, along with proficiency in data design patterns like the Medallion Architecture and familiarity with object storage (e.g., MinIO) and Protocol Buffers.
The estimated salary for this position is $113,000 - $168,000 per year, depending on qualifications and experience.
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