Bachelors degree or U.S. equivalent in Computer Science, Management Information Systems, Computer Engineering, or a related field plus 5 years of professional experience in computer programming including planning, analyzing, designing, developing, implementing, testing, and maintaining computer systems or applications, using objectoriented programming or functional programming including Java, Node.js, Python, Ruby on Rails, or CC to write high quality codes Reusable, scalable and errorfree and performing system architecture design and data modelling. In lieu of a Bachelors degree plus 5 years of experience, the employer will accept a Masters degree or U.S. equivalent in Computer Science, Management Information Systems, Computer Engineering, or a related field plus 3 years of professional experience in computer programming including planning, analyzing, designing, developing, implementing, testing, and maintaining computer systems or applications, using objectoriented programming or functional programming including Java, Node.js, Python, Ruby on Rails, or CC to write high quality codes Reusable, scalable and errorfree and performing system architecture design and data modelling.br br Must also have the following 3 years of professional experience with big data technology including Spark, Redshift, DynamoDB, Redis, MongoDB, or Elastic Search to review, evaluate, and improve product specifications for quality and clarity; 3 years of professional experience building largescale data extract, transform, load ETLmigration pipeline to plan, execute, monitor, and own features from inception to production; 2 years of professional experience building high performance, scalable, highly available and reliable backend systems including RESTful web services on AWS stack, DynamoDB, Redis, MongoDB, Cassandra or Elasticsearch; 2 years of professional experience building RESTful web services on Amazon Web Services AWS stack to plan, execute, monitor, and own features from inception to production; 1 year of professional experience working with Product, Design, and Operations teams to plan, execute, and monitor features from inception to production.

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