SOFTWARE DESIGNER – BIG DATA ANALYTICS PLATFORM

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

• 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

All your information will be kept confidential according to EEO guidelines.