Software Engineer at PayPal

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

26 Jan, 26

Salary

0.0

Posted On

28 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, C#, Python, Big Data, Map Reduce, Algorithm Analysis, Distributed Systems, Spark, Hive, Airflow, SQL, Performance Tuning, Automation, Simulation, Load Testing, Code Craftsmanship, Agile Development

Industry

Software Development

Description

Implements tasks within the Software Development Lifecycle (SDLC), receiving structure and oversight from more experienced staff Follows well-established internal conventions and standard procedures Understands internal standards & processes an applies them to make technical decisions Collaborates with peers, manager, and project lead to gain understanding of tasks and review solutions May contribute to code & design reviews 1+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience. We are looking for Software Engineers passionate about code craftsmanship, continuous improvements and agile development. We are building brand new data platform and products, scaling out existing platform features to support large scale data by leveraging big data tools and technologies. We are looking for you to bring a healthy mix of top-notch work ethics and fresh perspectives to our uniquely vibrant group. What will you do here? Collaborate with product team to identify appropriate business requirements and help design large scale solution architecture. Own key data pipeline components, services and offerings all the way from ideation to production deployment. Engage in experimentation, automation, simulation and contribute to performance tuning, improvements and load testing. What we absolutely need? Expert in any OO language (Java, C#, Python) BS/MS in Computer Science, Math or related field Hands on experience working with big data tools/libraries and map reduce framework Proficient in computer science fundamentals including algorithm analysis and design Strong desire to learn, push the envelope and share knowledge with others Innate love for Distributed Systems (developing, debugging, monitoring) How can you knock our socks off? Proven experience in tackling business problems around reporting and big data analytics Production grade experience with any or all of these: Spark, Hive, Airflow, SQL Strong sense of platform feature ownership - from ideation to deployment

Responsibilities

Collaborate with the product team to identify business requirements and design large-scale solution architecture. Own key data pipeline components and services from ideation to production deployment.