Microsoft is looking to solve the problem of building scalable analytics/insights platforms and designing modern fraud-detection infrastructure to protect products with speed, resilience, and adaptivity, utilizing large data volumes and open-source technologies.
Requirements
- Coding experience in languages including, but not limited to, C-Sharp, Java, C, C++, JavaScript, or Python
- Experience designing, developing distributed systems on a cloud platform
- Experience with data manipulation (SQL, Hadoop, Spark), NoSql DBs, and/ or BI Tools
- Experience in building large scale or big data engineering initiatives
- Experience in streaming processing, familiar with Kafka, Spark, Flink tools
- Experience analyzing data to identify deliverables, gaps, and inconsistencies
- Experience in bot and anomaly analysis and detection
Responsibilities
- Design, build and own the highly optimized architecture and systems for data and analytics pipelines, dashboards and metrics leveraging Azure and open source technologies.
- Build core datasets as well as scalable and fault-tolerant pipelines.
- Build data anomaly detection, identify trends and build metrics to measure anomaly impact and develop countermeasures to enhance product quality.
- Collaborate with cross functional partners including data scientists, product managers and software engineers to design and develop end-to-end data assets that help improve our products.
Other
- Bachelor's Degree in Computer Science or related technical field
- Ability to meet Microsoft, customer and/or government security screening requirements
- Must be able to work from the office at least four days per week, if living within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location
- Solid communication skills, capable of building and maintaining relationships with a variety of people on other teams
- Passionate and self-motivated
