Closing Date: 1st February 2018

Innosparks Pte Ltd
Assistant Principal Engineer/ Senior Engineer (Software - App and Analytics) (INS/I/PT3)

Salary: 0.00

Job Responsibilities

  • Support to kit-out the sub-Lab and outfit a highly functional and low-friction workflow sub-Lab to support the programmes’ activities - these include web and app development environments; data analytics methodologies/tools; and integration and testing environments
  • Own and drive the Lab’s innovation and/or incubator programmes, lead/support a multi-disciplinary team to work closely with the other sub-Labs, managers and participants of the group’s innovation and incubator programmes across the whole development process from concept to market
  • Engage with stake-holders, understanding and analyzing unique needs and challenges of each project and provide insight into developing efficient solutions through the use of web and/or mobile applications. Lead/Support in software development in database architecture/design, up scaling, development road-mapping, and communicate solutions effectively
  • Be responsible for any other ad-hoc jobs and/or duties that are so assigned to you

Knowledge/ Skills/ Competencies Required (if applicable)
  • A good Software Engineering/ Computer Science graduate Degree (or equivalent) from a reputable university. Post-graduate degree in any discipline is a plus 
  • 6 years of experience in software development space with heavy emphasis on web and/ or mobile applications and/ or implementation/scripting of data analytics models*.
  • Must be proficient in one or more web scripting language(s) – PHP, Ruby, Python etc. Knowledge and experience in other languages and developers’ tools is a plus
  • Must possess knowledge and experience of software development in the mobile app space in either Java or ObjC and be able to set up the environment for such development*
  • Candidate should have deep skills/expertise in MySQL and Redis, and be familiar with various web integration APIs – JSON, REST, SOAP*
  • Must have a full understanding of database structures and how to design database(s) as well as scaling up
  • Expertise/ Experience in one or more of these data analytics methodologies/ tools is a strong plus: exploratory/ confirmatory data analysis (EDA/CDA), quantitative/ qualitative data analysis, data mining, database, predictive modelling, machine learning; supervised and unsupervised; and the implementation/ scripting of these models with programming languages such as Python, Scala, R and SQL*
  • *Portfolio of apps/ solutions developed would help support the candidate’s application
  • Knowledge in SAS or other analytical software and/or applications would be a plus
  • Interest and experience with arduino or other microcontrollers, Bluetooth beacons, infra-red sensors and audio analytics – as well as integration with software – would also be a plus
  • Strong analytical and problem-solving skills and ability to communicate concepts and solutions effectively
  • Experience with similar day-to-day operations - projects and their schedule and budget
  • Take great pride in personal quality of work
  • Ability to work collaboratively in highly dynamic teams and across various disciplines
  • Ability to communicate financial and programme details effectively across to staff and senior management
  • Demonstrated ability in supporting multi-disciplinary team in innovation and/or incubator programmes throughout the programme’s life-cycle from concept to engineering to market to achieve outstanding results

Skill Sets:
  • User interface and user experience
  • Knowledge of full stack
  • Server configuration
  • Database structuring and design
  • Efficient coding
  • Load testing
  • Troubleshooting and debugging
  • Deployment
  • Data analytics methodologies/tools
  • implementation/scripting of data analytics models
  • Consumer behavior in app space
  • Program risk management; Regulatory compliance, Quality standards
  • Documentation
  • Finance and business skills
  • IP and business law

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