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TITLE

 

Data Platform Engineer

COMPANY

 

Qventus

LOCATION

 

Mountain View, CA, US

Description

Want to use your engineering chops to help others?
Join our engineering team and touch over a million patient lives a year!
 
Have you ever found yourself or a loved one waiting hours in a hospital Emergency Room to get care? Do you wish your physicians were more accessible and easier to make appointments with? Qventus is looking for backend developers who can help redefine the healthcare systems. We are seeking folks who will build and own significant components of the Qventus backend systems and decision support modules.
 

Key Responsibilities

    • Design and implement highly scalable backend systems and algorithms to process massive amounts of complex, high dimensionality, high cardinality data.
    • Work closely with rest of the team members to develop, test, deploy, and operate high quality, scalable software.
    • Design and develop test cases and implement automated test suites to ensure both code quality and data integrity/quality.

Requirements

    • Experience with stream processing, messaging semantics, scheduling algorithms, and distributed systems fundamentals – Kafka, Spark, AWS Glue, Airflow, Lambda, Storm or related technologies.
    • Ability to design scalable messaging systems for high throughput, performance, reliability and latency.
    • Data modeling and design -- SQL, NoSQL & in-memory databases.
    • Savvy on modern security design and programming principles, threats & preventive implementations
    • 5-7+ years of professional experience working with modern programming languages such as Java, C/C++, Python, and SQL.
    • Ability to quickly learn new technologies and work effectively in a fast paced dynamic environment.
    • Experience with open-source technologies and cloud platforms.
    • BS, MS or PhD in Computer Science or equivalent.

Desired Skills

    • Experience with large-scale, high complexity metrics and monitoring.
    • Experience with performance testing, troubleshooting and tuning.
    • Experience building applications on top of RESTful APIs and micro services.
    • Experience building and scaling large scale ETLs.
    • Experience building and managing automated build/test/deployment environments.

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