We are expanding our team and looking for a skilled software designers to build our next generation big data analytics platform that will support a variety of applications across the Accedian portfolio. We are looking for highly motivated professionals with different levels of experience. We envision that most team members will work from our R&D center in Montreal, but we will also consider candidates who would work from home. This is a great opportunity to enter a cutting-edge project from the beginning, with virtually unlimited growth potential in the future! JOB DESCRIPTION The successful candidate will: Architect, design, implement and test core components of Accedian's next generation big data analytics platform: • Data acquisition, a high-throughput, low-latency real-time data feeds platform • Analytics Engine • Database and data models • Local cluster and cloud deployments Qualifications • Passion for software development • Excellent understanding of Big Data Analytics concepts: data acquisition, processing and storage, the three V's (Volume, Velocity, Variety), algorithmic complexity ("big-O") • Excellent understanding of data structures (hash table, graph, tree...), object-oriented programming, design patterns, scalability, high-availability, distributed storage, distributed processing and parallel programming • Excellent understanding of virtualized compute and storage environments • Reliable, taking pride in delivering high-quality results on aggressive deadlines • Team player, quick learner and passionate at solving challenging problems DESIRED SKILLS • Good understanding of telecommunications networks - Carrier Ethernet and IP Networks • Good understanding of open source projects relevant to this field of activity • Good understanding of data science concepts: statistics, probabilities, uncertainties, curve fitting, trends, correlations, multi-variate analysis, decision trees, neural networks, visualization REQUIRED EXPERIENCE • Experience with Scala, Java, Python and/or C++ (other languages are an asset) • Experience with Apache Kafka , Apache Spark, NoSQL & Time Series DBs and HDFS • Experience with OpenStack, KVM, VMWare, VirtualBox and/or Xen DESIRED EXPERIENCE (OPTIONAL) • Experience with Druid, a high-performance, column-oriented, distributed data store is an asset • Experience with data analysis, data mining and/or machine learning frameworks such as Spark MLib, R, ROOT or others • Experience with applied mathematics, optimization algorithms • Experience with Agile and DevOps methodologies Additional Information