Cutting Edge Big Data Engineer Position with Dynamic, Growing, Industry Leader
Early Warning is a dynamic and fast growing industry leading organization in developing innovative solutions to help protect the financial services industry from sophisticated, high tech fraud rings that operate around the globe. We are looking for high energy, hardworking and passionate software engineers, like YOU, to join us in creating a product platform utilizing cutting edge big data technology. This big data platform will drive our new products and capabilities. This is a unique opportunity where you can not only be part of the team to build out the underlying big data platform itself, but to have hands on experience creating the products that will be the next generation of fraud fighting tools. If this all sounds interesting to you, here are a few questions:
- Are you passionate about solving novel real-world problems?
- Would you like to turn the tables on asset and identity thieves, fighting them with superior technology?
- Are you a champion of quality software engineering practices such as behavior-driven development, continuous integration and delivery, customer collaboration, and merciless refactoring?
- Does the challenge of developing massively parallel, highly-available, rigorously secure, share-nothing architectures to support high-performance low-latency streaming-analytics products inspire you?
- Do you want to immerse yourself into the deep end of the Big Data pool?
If the answer is YES…read on.
Responsibilities for talented and motivated big data software engineers/architects:
- Design and build high-quality re-usable grid-based software components Loosely integrate state-of-the-art Big Data technologies into the overall architecture
- Evaluate new FOSS and COTS technologies for fit as they become available
- Become an expert in the technologies ultimately deployed as part of the architecture
- Work closely with the administration, delivery and operations specialists to ensure proper tuning and operation of the systems
- Lead Initiatives for improving existing software usability, performance, reliability, scalability, security, etc.
- Lead Initiatives for improving the process of creating and delivering high-quality solutions
- Ensure designs, codes and documentation are in line with the enterprise strategies, principles and standards