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Big Data
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EA License No.: 90C4037
Software Vendor & Information Technology
2 months ago
Posted date
2 months ago
Mid-levelMinimum level
ITJob category
EA Personal Registration No.


  • Analysing requirements, designing, developing, testing & supporting application and Data warehouses from build to production (including proof-of-concept)
  • Ability to develop test plans and lead testing cycles.
  • Provide product and application support and maintenance.
  • Able to communicate pros and cons of different options to end users.
  • Leads in the assessment of the customer environment and the design of the solution architecture based on the requirements specifications.
  • Ensures appropriate documentation, customer involvement and sign-off.
  • Develop development framework and assign development effort to team members.
  • Actively leads and manages team members to a successful project.


  • Diploma/Degree in Computer Science, Information Technology or equivalent.
  • Have 5 - 8 years’ experience in installation and configuration of software in Linux/Microsoft platforms with the understanding of security hardening, firewall and etc.
  • Have 5 - 8 years’ experience in Business Intelligence/Data Warehouse/Analytics Projects involving in requirements gathering designing, development, deployment, conducting knowledge transfer and post deployment support.
  • Have 5 - 8 years’ experience familiar with Data Platform/ETL/Business Intelligence technologies such as:
    • Tableau
    • Talend
    • MapR/Cloudera/Hortonworks platform
  • Preferably have experience actively leading and managing a team of 3 to 5 members.
  • Independent with ability to work effectively in a team and who takes initiative and engages their colleagues.
  • Excellent communication and interpersonal skills with ability to communicate with clarity and confidence with colleagues and customers.
  • Likes technology, taking initiative to learn more and share knowledge with juniors and within the team.
  • Proven abilities to take initiative, innovative and the ability to develop creative solutions for challenging client needs.
  • Knowledge in any of following tools or technologies are not mandatory but will be an added advantage:
    • Data Modelling using dimensional modelling techniques (e.g. star and snow flake schemas) and designing the metadata layer for self-service analytics
    • SAP related skillsets S/4 HANA, SAP Analytics Cloud, SAP BW
    • Cloud and network concepts
    • Databases such as MariaDB, MySQL, PostgreSQL
Related tags
Big Data
2 months ago