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Software Engineer II at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

0.0

Posted On

19 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure, Open Source Technologies, Data Engineering, C#, Java, C, C++, JavaScript, Python, SQL, Hadoop, Spark, Kafka, Flink, Data Analysis, Anomaly Detection, User Empathy

Industry

Software Development

Description

- 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. Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C#, Java, C, C++, JavaScript, or Python 1+ year of experience designing, developing distributed systems on a cloud platform. Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C#, Java, C, C++, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C#, Java, C, C++, JavaScript, or Python - OR equivalent experience. Experience data manipulation (SQL, Hadoop, Spark), NoSql DBs, and/ or BI Tools. Passionate and self-motivated. 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. Has solid user empathy with an obsession for clean and functional user experiences, constantly thinking of our end-users. Solid communication skills, capable of building and maintaining relationships with a variety of people on other teams.

Responsibilities

Design and build optimized architecture and systems for data and analytics pipelines. Collaborate with cross-functional partners to develop end-to-end data assets that improve products.