Via Science is looking for an individual with the curiosity to derive new insights from data that can help transform our clients' businesses. The ideal candidate will find him or herself as part of a data science team at the interface of quantitative science and software engineering. He/she will deliver a high-performance computing infrastructure on demand to support internal teams and external clients as they build advanced analytics applications using our Focus™ architecture.
Text title: ?What are some examples of your responsibilities?
As a Data Engineer, you will take a lead role in developing and managing Cloud infrastructure to support our data scientists:Choose appropriate Big Data technologies to solve client problemsInstall, configure, and administer compute clustersManage database design and administrationMaintain continuous integration builds of key software components
Text title: ?Qualified candidates should be/have:
3+ years of experience in a data engineering roleA degree (Bachelor's or Master's) in computer science or related fieldsCompetent in the following technologies:Hadoop-based tools (e.g. HDFS, YARN, Hive, Pig, Spark, Flink)Cloud infrastructure tools (e.g. AWS, OpenStack, Docker, Ansible)Database technologies (e.g. SQL, NoSQL)Programming languages (Java, C++, Python)Continuous integration tools (e.g. Jenkins)A demonstrated ability to learn new technologies quicklyPrior experience working in advanced analytics and/or HPC environmentsDetail-oriented, self-starter and critical thinker with excellent follow-up and organizational skillsStrong desire to learn and ask questionsAbility to multitask and work independentlyDesire to work in a high energy, startup environmentExcellent communication and interpersonal skills