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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 etcto 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 (eg MapReduce, Hive and Pig)
SQL based databases eg PostgreSQL and MySQL & their architectures
NoSQL based database technologies eg Cassandra & MongoDB
ETL Techniques/Tool Data mining & cleaning & visualization
Data modeling tools (eg 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
Employment Type : | Full Time |
Eligibility : | Any Graduate |
Industry : | Financial Services/Stockbroking, Banking |
Functional Area : | IT Software : Software Products & Services |
Role : | Software Engineer |
Salary : | As per Industry Standards |
Deadline : | 17th Mar 2020 |
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