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Location: 100 Mathilda Pl, Sunnyvale, California, United States, 94086
About us:As a Fortune 50 company with more than 350,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, fuel and develop talent by creating growth opportunities, and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value, and how we work. It's how we care, grow, and win together.The High-Performance Stream Computing (HPSC) team at Target specializes in building data processing products on top of cloud-native platforms. We enable teams at Target to stream, filter, transform, and analyze telemetry data in real-time, and provide tools for engineers to analyze and act on their data. We also research the capabilities of next generation computer hardware, architectures, and algorithms in order to: build enterprise grade, efficient products and provide guidance on building scalable, fully utilized infrastructures.You will be working with a small team of HPC experts who have more than 20 years of experience in the HPC domain. As the Lead Data Engineer, you will have the opportunity to create the vision for and drive the adoption of highly sophisticated query engines that take advantage on the underlying hardware platform. This is a great opportunity for leaders with a passion for creating value by leveraging HPC and data engineering to solve the most complex data processing problems in retail.Responsibilities:- Building highly parallel and distributed query processing engines that can handle high cardinality and high dimensionality datasets.
- Working on our proprietary distributed query engine to extend it to unify data processing on both unbounded and bounded datasets.
- Extending the proprietary distributed query engine to seamless work on top of cloud native technologies at scale.
- Contributing and using open source projects like Redis, apache arrow, Intel thread building blocks, Libdart etc.
- Design declarative query DSLs to easily describe complex data flow computations.
- Masters degree in Electrical Engineering, Computer Science, or relevant work experience
- Proficient in writing highly optimized multithreaded code in either Java, C, golang.
- Experience in using various tools ( gperf, ebpf, coz, valgrind, intel Vtune, etc ) to debug and profile multithreaded code.
- Exposure to high level programing languages such as python, ruby
- Comfortable in computer architecture and operating system concepts like CPU caches, paging, shared memory, memory allocators, virtual memory, simd operations etc.
- Ability to use tools such as Git, docker
- Passionate about Databases, caching and in-memory data analytics.
- C17 (excited to migrate to C20)
- Python 3
- Lua
- Redis
- golang
- ID: #43788738
- State: California Sunnyvale 94086 Sunnyvale USA
- City: Sunnyvale
- Salary: USD TBD TBD
- Job type: Permanent
- Showed: 2022-07-03
- Deadline: 2022-08-13
- Category: Architect/engineer/CAD