The successful candidate will have technical expertise, the desire to deliver work of the highest quality consistently, and a pragmatic approach to complex problems. Ideally, the candidate will be customer facing, agile, have experience in requirements gathering and technical story writing and some experience as a tech or team lead. You will have the skills required to make technical decisions which positively impact the whole team's velocity and the quality of the final product. Senior Software Engineers are proactive problem solvers, able to make informed decisions under pressure and revel in working at the cutting edge of software implementation.
The following are a list of relevant skills expected from a successful candidate. Other relevant skills are considered:
Must
Should
Desirable
As a Senior Consultant and Senior Software Engineer in Big Data, candidates will be expected to contribute and/or facilitate the following within an agile team:
Translate functional requirements into code
Highlight risks and assumptions
Communicate in a clear, polite and concise fashion
Tested thoroughly as a driver of implementation
Robust and able to handle an exception
Efficient; covering common patterns and data structures
Readable and coherent
Job details are sourced from the employer's original posting.
Open job postingAbout the company
The Client provides expert advisory and implementation services for open source big data solutions. As the first and only pure-play big data services firm, their Data Scientists and Engineers are trusted advisors to the world's most innovative companies. Their experienced teams combine a distinctive methodology and a proven framework that includes tested design patterns and pre-built components, to help clients build applications faster. The Client helps Customers leverage Big Data analytics by integrating open source platforms, such as Hadoop, NoSQL and Streaming Engines, with best-of-breed data warehousing environments. Service offers include: a Big Data roadmap, Data Engineering, Data Lake and Analytic Operations, Training and ongoing Big Data Solution Support.