Signals Analytics

At Signals Analytics, we help the world's leading brands to make better decisions faster and with less risk. We’re looking for hard-working, passionate people to help us unite the art and science of sound decision-making.

The opportunity to shape how companies create winning products, discover breakthrough cures and put social good at the heart of their business is in our grasp. We’ve already proven that we can move faster than anyone else, but right now we’re only part of the way there.

Signals Analytics is developing a world-first cloud service that transforms big data into highly valuable intelligence information for our Fortune 1000 customers.

We invite you to join a highly-motivated, top-notch engineering team, in a warm and friendly fast-growing company.

Key Responsibilities

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  • Build and own high-availability, container-based micro-services to support data streaming and processing infrastructure
    
  • Keep up to date with trends and new technologies & processes
    
  • Follow software engineering, agile methodologies and data engineering best practices
    
  • Contribute to shaping our engineering practices, innovation and culture
    
  • Work closely with other teams to help create new innovative solutions
    
  • Work with the Products team to support requirements definition and translate those into well designed software components with unit tests
    
  
  

Key Requirements:

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  • 2+ years of hands-on experience in Software Development
    
  • Excellent programming skills in one or more of the following: Python, Java, Scala, C++. Knowledge of other programming languages a plus
    
  • Experience with Agile development methodologies and related tools
    
  • Team player with deliveries and goals oriented approach
    
  • Excellent English communication skills
    
  • Bachelors or above in computer science or equivalent related educational /  experience
    
  
  

Additional Valuable Experience:

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• Experience developing large-scale distributed software systems
  
• Knowledge of large scalable data platforms like Hadoop, Cassandra, etc.
  
• Experience with cloud based technologies
  
• NLP technologies, Data Science, Machine Learning, data classification and normalization