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30 May
2016
Full-Time Technical Specialist – Data Modeller / Architect
Job Description
Responsibility & Accountability
- Function in a project team setting
- Is responsible to provide realistic estimates for his and his team tasks and achieve On-time Delivery.
- Strong and effective inter-personal and communication skills and the ability to interact with prompt and professionalism to the teams across different time zones.
- Efficient communication of issues/risks/concerns to leads or managers.
- Should serve as the Architect’s delegate within the team to propagate design/architectural consistency.
- Ensure that code artifacts produced are of the highest quality, conforming to set or agreed upon standard. Should advocate such consistency to all members of the team.
- Able to work with maintenance teams and contribute gathered knowledge when requested to do so.
- Follows the Pearson processes, agile practices and motivates his/her team members to do so.
- Makes optimum utilization of engineering tools and technologies to maintain a high productivity level in the team.
- Able to drive technology-based task forces/initiatives for the organization.
- Participation in regular performance review cycles.
- Align self to organisational goals
- Is able to accept project delivery responsibilities and demonstrate accountability to leadership.
- Is able to build competencies in product and technology domain to set expectations.
- Be a professional in work aspects as well as conduct with other individuals.
- Maintain a sense of individuality in thinking and decision making.
- Delivering products that meet business goals and financial objectives.
- Working in a global team environment.
Key Technical Competencies
- Great attention to detail
- Great knowledge of JSON
- Ability to think of data efficient structures to represent semi-structured data
- Data modeling on NoSQL data stores: Cassandra, ElasticSearch, MongoDB
- Data analysis, ability to find patterns and common structures in high volumes of data, sampling and statistics
- Data cleansing – getting data from raw sources to high data quality
- Understanding of BI / Analytics principles at a high level at least (aggregations, cubes, dimensions, etc.)
- Good understanding of Software solutions designing
- knowledge in Java, Python or any other programming language.
Education, Experience and Qualifications
- B.Sc. in Computer Science or related discipline or equivalent professional qualification.
- Minimum four (4) years of experience in software engineering and design and preferably some experience in a leadership role. Should have held some authority over the design and architecture of enterprise software products.
How to Apply
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