Senior Software Engineer - Data
Criteo Corp.
Ann Arbor, MI, United States
2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Application Programming Interfaces (APIs)
Big Data
C Sharp (Programming Language)
C++ (Programming Language)
Cloud Computing
Computer Programming
Data Structures
Distributed Systems
Apache Hadoop
MapReduce
Apache HBase
+6 more
Apache Hive
Python (Programming Language)
Scala (Programming Language)
Software Engineering
Web Services
Information Technology
Requirements
- BS in Software Engineering or related field.
- 4-6 years of programming experience in C#, Java, or C++.
- You have a rock-solid foundation in Computer Science (data structures, algorithms, software design).
- You are experienced with architecting, developing and extending large and complex systems.
- A passion for shipping quality high-performance code.
- You are a problem solver, a fixer, and a creative technologist. We believe coding is a talent and a passion, not just a skill.
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You need to be a great team worker and a great communicator. Nice to have:
- Experience with Big Data and technologies such as Map/Reduce, Hadoop, Pig, HBase, Hive
- Experience with API and web services design
- Experience with taking the initiative and acting as a technical lead
- A passion for shipping quality high-performance code
- Strong understanding of (one or more of the following): Java, Python, Scala, system design, distributed systems, web services, cloud infrastructure,
- Experience in a web or mobile advertising technology business.
- Working in a very fast-paced and continuously changing environment
About the company
What you will be doing:
- Write high quality, maintainable code as leading member of the platform team
- Be a part of a team working on a high volume, highly available system, critical to the success of the business
- Participate in architecture discussions, influence the roadmap, and take ownership and responsibility over new projects
- Build scalable, available, low latency systems designed to serve for high traffic
- Build fault-tolerant distributed data processing systems from ground up
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