Anson McCade

Senior Data Engineer / Data Architect (Big Data, N...

Job description

  • Work on highly prominent platform with extensive financial backing
  • Opportunity to build out data engineering practice if desired
  • Highly regarded tech team involved in extensive growth across US and Australia

Senior Data Engineer / Data Architect (Big Data, NoSQL, C++, Python, SQL, Azure)

Exciting start-up urgently seeking a Senior Data Engineer / Data Architect to join their rapidly growing, and highly skilled team of technologists, quants, data scientists, and executives in Sydney. This person will have the opportunity to build out a data engineering department, or remain as an individual contributor.

My client is commercialising a highly researched big-data, artificial intelligence (AI) market analytics technology platform that has been evolving for the past 10 years to enable Asset Management and Risk Advisory. Their system has demonstrated superior risk adjusted returns across multiple asset classes over multiple time frame, and recently completed a capital raise to build out the prototype technology into a real-time, streaming data analytics processing cloud-based technology platform.

My client promotes a hardworking, open-minded, and passionate culture, crafting phenomenal results and delivering real value for their customers. This is an exciting opportunity to establish yourself in a fast-growing business that is investing heavily in the growth of its platform, and is ideal for someone looking to develop their career in a fast-paced, dynamic start-up environment.

Must Haves

Successful candidates will have the following experience:
  • 10+ Years of relevant data base experience
  • Extensive knowledge of data base architecture, administration, integration and development
  • Fluency in SQL
  • Significant experience with big data
  • Significant experience with real-time data
  • Significant full project lifecycle experience
  • Competency in Python development

Additional Skills that Would Strengthen a Candidates Application

In addition to the above “must haves” suitable candidates will have at least some of the following skills and experience:
  • Time Series Data Base such as OneTick
  • Distributed Data Storage
  • NoSQL
  • Ability to develop rules for data QA and data cleaning and structuring prior to applying analytics
  • Ability to automate data QA
  • C++/C
  • Perl, XML, JSON and/or other scripting languages
  • Azure
  • Data Science
  • AI
  • Finance Industry or Financial Systems
  • For a candidate without Financial Industry experience, other high through-put with low-latency and minimal fault tolerance industry experience would be helpful such as:
    • Medical systems or devices
    • Aviation systems
    • Automotive controls
    • Military/defense systems

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