Our client believes that security is a critical enabler for success. They build upon their deep scientific expertise and extensive research-base to create solutions that help their customers navigate the ever-changing cyber-security landscape.
Their products and services are targeted towards ensuring the holistic security of business-critical software. Their proprietary static and dynamic analysis techniques allow for a comprehensive security assessment that uncovers potential vulnerabilities before they may be exploited. From legacy applications developed in-house to the newest tools acquired from third-party vendors, their solutions ensure that you are never caught off-guard by a malicious cyber-attack.
As a Data Engineer, You will be responsible to:
Design and implement automated data sourcing pipelines that are robust and resilient
Extend and modify existing user and knowledge databases to keep up with the landscape and product changes
Write high-quality, clean, maintainable code using engineering best practices
Understand the data, and enjoy the process of optimizing it from an accuracy and performance standpoint
Collaborate with stakeholders to build security products that their users will love!
You must possess a bachelor's or a higher degree in Computer Science/Engineering or related fields and have at least 2-year of Hands-on experience writing python code - ideally for data-processing tasks
You have In-depth understanding of relational databases (PostgreSQL preferred), non-relational databases (MongoDB), ORMs, and RESTful APIs
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Job ID: ATAEI62CEX
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