We are looking for a mid-level data engineer that will work on collecting, storing, processing, and analyzing business data and help us make smarter decisions to deliver even better products . Your primary focus will be in applying data mining techniques, doing statistical analysis, automate scoring using machine learning techniques, build recommendation systems, and building high quality prediction systems integrated with our products. You will also be responsible for integrating them with the architecture used across the company.

Designing and Implementation

• Accountability of all technical aspects of software development for assigned application
  
• Utilize the data structure and algorithms to make the system more efficient
  
• Support ongoing refactoring of code, utilize visualization and other techniques to fast-track concepts and deliver continuous improvement
  
• Analyze, monitor and optimize for performance
  
• Write code and unit tests, work on API specs, automation and testing
  
• Produce and maintain high-quality technical documentation
  

Scope of Work

• Will gain new knowledge from upcoming research and applying it to design and development
  
• Develop deep understanding of tie-ins with other systems/platforms within the supported domains
  
• Share the gained knowledge with other team members through interactive sessions
  
• Identify opportunities to adopt innovative technologies
  
• Works with Technical Product Owners and Principal Data Engineers to prioritize features for ongoing sprints and managing the list of technical requirements based on new known issues
  
• Provide continuous support for design, development and application availability
  

Requirements:

• 2+ year(s) of experience in developing software applications including: analysis, design, coding, testing, deploying and supporting of applications
  
• BS degree in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences and data mining
  
• Understand application/software development and design in an Agile environment
  
• Inquisitive on Artificial Intelligence; current on new ideas and tools
  
• Good understanding of Data structures and Designing of Algorithms
  
• Good understanding of basic mathematical concepts and ability to grasp complex mathematics
  
• Proficient in at least one programming language - R, Java, Scala, Python, C/C++
  
• Collaborative personality, able to engage in interactive discussions with the rest of the team
  

Preferred Qualifications:

• Experience with Hadoop stack (Map Reduce, Kafka, Pig, Hive, HBase, Cassandra, YARN) and/or BDAS (Scala/Spark)
  
• Experience working on projects facilitating true CI/CD (Jenkins, Drone, etc.)
  
• Exposure to DevOps tools and culture (i.e. Kubernetes, Docker, Jenkins, Git, etc.)
  
• Awareness of new and emerging data technologies and trends
  

Applying Procedure:

If you meet the above requirements, please drop your CV at [email protected] or [email protected]

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