Sign up with

Already have an account? Log in here

Need some help?
Talk to us at +91 7670800001

Software Engineering IC2 at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Mar, 26

Salary

0.0

Posted On

02 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Manipulation, SQL, Hadoop, Spark, NoSql DBs, BI Tools, Distributed Systems, Cloud Platform, Streaming Processing, Kafka, Flink, Data Analysis, Anomaly Detection, User Empathy, Communication Skills, Product Quality

Industry

Software Development

Description

Designs, builds and owns the highly optimized architecture and systems for data and analytics pipelines, dashboards and metrics leveraging Azure and open source technologies . Builds core datasets as well as scalable and fault-tolerant pipelines . Builds data anomaly detection, identify trends and build metrics to measure anomaly impact and develop countermeasures to enhance product quality. Collaborates 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. Embody our culture and values Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR 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, C++, C#, Java, JavaScript, or Python OR equivalent experience. Proven experience in data manipulation (SQL, Hadoop, Spark), NoSql DBs, and/ or BI Tools. Experience in designing, developing distributed systems on a cloud platform. Experience in streaming processing, familiar with Kafka, Spark, Flink tools. Experience in analyzing data to identify deliverables, gaps, and inconsistencies . Experience in bot and anomaly analysis and detection. Reliable user empathy with an obsession for clean and functional user experiences, constantly thinking of our end-users . Reliable communication skills, capable of building and maintaining relationships with a variety of people on other teams. Passionate and self-motivated.

Responsibilities

Designs and builds optimized architecture and systems for data and analytics pipelines. Collaborates with cross-functional partners to develop end-to-end data assets that enhance product quality.