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Data Engineer & Architect

Candidates with an Engineering degree in computer engineering or Science are right fit for this position. Also prefers the candidates having applied math, physics, and statistics as primary subjects. The shortlisted candidates are expected to work in R&D like environment mostly need to work with big data technologies, need to work in unstructured data space and should be able to provide clean and meaning data. They need to build models; prototypes etc. using large cluttered data sets (unstructured and structured) using their statistical and programming skills; expected to apply their analytic capabilities from industry knowledge, contextual understanding etc.to discover patterns, identify use cases that can be leverages to address business challenges The ideal candidates should be from financial domain, having worked with large dataset, understands evolving trends in banking and capital markets and its regulations. Skills Set:

  • Cloud infrastructure – AWS, Google
  • Programming Languages - C/C++ or Java
  • Scripting Languages – Python and/or Perl, XML, Javascript
  • Hadoop-based technologies (e.g. MapReduce, Hive and Pig)
  • SQL based databases e.g. PostgreSQL and MySQL & their architectures
  • NoSQL based database technologies e.g. Cassandra & MongoDB
  • ETL Techniques/Tool : Data mining & cleaning & visualization
  • Data modeling tools (e.g. ERWin, Enterprise Architect and Visio)
  • Understanding of Statistical tools (anyone): MatLab, SAS, R,SPSS
  • Statistical analysis and modeling(hypothesis definition and testing), Data Probability (Math ability)
  • Predictive modeling, NLP and text analysis
  • Exposure to Machine learning techniques
  • Unstructured data management techniques
 







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Our Partners

Magic has built a strong eco-system of partners to ensure that we are able to provide high quality solutions to meet our client's ever growing business needs and help them navigate complexity of environments & technology.