Shanghai, China
5 days ago
MTS 1/ MTS2, Software Engineer- Data Platform

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

Company Description

eBay is a technology company driving the ‘future of commerce’! We are enabling consumers to buy anything, anywhere, anyhow, thus unifying the online buying experience across the mobile, local, social and digital space.

Job Description

We leverage our data & AI technology to accelerate growth, introduce new revenue streams, and create transformative experiences for our customers. Our platform deals with petabytes of data that is processed, queried, visualized, analyzed, with high quality & low latency. We are seeking for big data expert to build on LLM-empowered data platform to enable data & AI.

Responsibilities

Build Data Mesh that facilitate seamless data integration across different environments, such as APIs, data virtualization, and integration platforms like Apache NiFi or Talend.Design Event-Driven Architectures: Experience in designing and implementing event-driven architectures that support real-time data flows.Develop Data Orchestration: Knowledge of orchestration tools such as Apache Airflow or Prefect to automate and manage data workflows.Design and implement self-service data infrastructure that empowers teams to manage their data independently.Familiarity with open standards and protocols to ensure data interoperability across domains.Design Metadata Management which proficiency in managing and utilizing metadata to enhance data discovery, lineage, and governance. Familiarity with tools like Apache Atlas or Collibra is beneficial.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with 5+ years of experience in big data engineering or a similar role.Strong proficiency in Java and Spring Boot for developing and deploying data applications.Extensive experience with Apache Spark and Apache Flink for both batch and stream data processing.Experience with open source solutions like DBT, Sql Mesh is a plus.Familiarity with metadata management, data linkage, and data governance frameworks to ensure data integrity and knowledge discovery is a plusExperience with Redis and MongoDB, including expertise in database indexing for efficient data consumption is a plus.Proficiency in Python, particularly for integrating and deploying machine learning models, including LLMs prompt engineering is a plus.Communication in English is required.

Disclaimer: Please note that by applying to this role, you are agreeing to be considered for multiple positions. This is a general description of the qualifications and skills required for positions of this type of role.

Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

 

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