Do you want to be a Senior Data Engineer on an elite Data Science team? Do you want to build data solutions that power AI and Data Analytics of a global Security Product? Do you want your work to be impactful on millions of users?
Join us and become part of a winning Data Science team that builds the brain of one of our most exciting security products, our Defender for Endpoint (MDE). As cyber-attacks have become more sophisticated, MDE helps enterprises detect, investigate, and automatically disrupt advanced attacks and data breaches on their networks. Our team is responsible for developing and deploying Machine Learning (ML) models that protect organizations worldwide and owning Data Analytics systems that facilitate data-driven decisions and operational excellence.
Responsibilities:
Create and maintain robust Big Data pipelines for Analytics and ML systems.
Optimize performance of Big Data scripts and queries.
Create monitoring and reporting infrastructure.
Develop systems that facilitate Data Science activities such as Analytics and Feature Extraction.
Requirements: Qualifications:
5+ Years of experience as a Software Engineer.
Excellent logical reasoning, problem solving and debugging skills.
A university degree in Computer Science or in a related technical discipline.
Experience with developing software in distributed, cloud-based systems.
Experience with Big Data systems, Data Pipelines and Reporting.
Experience with C#, Python, SQL, and other scripting languages.
Interest in Data Science and Cyber Security.
A team player with strong communication skills and drive for results.
Preferred qualifications:
Azure, Cosmos DB, Spark, AML, Azure Data Explorer, KQL.
Knowledge in ML and Data Science.
Knowledge in Cyber Security.
This position is open to all candidates.
