Data Engineer

Position Overview

To support Teradata / OBIEE / TIBCO for the H2H project.

Role & Responsibilities

1.  Provide on-going application support and be involved in various stages of the SDLC.
2.  Conduct user requirement analysis for the development / implementation of new systems and for enhancements to existing systems.
3.  Evaluate potential solutions and make recommendations to resolve business problems.
4.  Involvement in the system integration testing phase prior to implementation.
5.  Plan and coordinate end-user training for any system implementations or enhancements.
6.  Liaise closely with business users and build good rapport.
7.  Liaise closely with vendors in project implementation, application testing, supporting application patches and upgrades in accordance with project methodologies and policies.
8.  Support the team in defining project requirements, tracking and documentation.
9.  Provide 24/7 primary application maintenance standby support.
10.  Provide guidance and coaching to junior team members.

Requirements

(a)           Degree/Master in Computer Science, Information Technology, Computer Engineering or equivalent.
(b)           Five (5) years’ experience in providing data warehouse or advanced analytics solutions.
(c)           Experience with 
•         databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Greenplum)
•         data repository design (e.g. operational data stores, dimensional data stores, data marts)
•         data interrogation techniques (e.g. SQL, NoSQL).
•         structured and unstructured data analytics.
•         statistical computing programming language (e.g. R).
•         data quality tools and processes.
•         data transformation and terminology equivalence mapping.
(d)           Experience in data modelling for analytics (e.g. star schemas, snowflake schemas).
(e)           Deep understanding of analytical models and methodologies – especially in the context of health analytics for clinical use and clinical safety (e.g. data mining, predictive analytics).
(f)            Experience with data acquisition tools (e.g., ETL, real-time data capture, and change data capture).
(g)           Comfortable working independently to carry out data analysis, estimate data quality and sufficiency. Understanding and analysing huge volumes of data drawn from heterogeneous sources / repositories.
(h)           Exposure to the development, evolution and adherence to the architectures relevant to the domain.
(i)            Experience with Business Intelligence Tools (e.g. SAS, SPSS, Cognos, Microstrategy, Microsoft analysis services, Business Objects).
(j)            Advance knowledge of Excel features and techniques required for the presentation of data.
(k)           Ability to work with a wide variety of report generation software (e.g. SSRS, Crystal reports) and generate a wide variety of outputs (dashboards, scheduled reports).
(l)            The ability to work towards strict and conflicting deadlines, be able to plan and prioritise in an environment with multiple stakeholders.
(m)          Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.
(n)           A good understanding of Singapore Healthcare System.
(o)           Familiarity or experience with health informatics would be preferred.
(p)           An understanding of healthcare data governance, data acquisition and data management would be an advantage.
(q)           Experience in interacting with analytics stakeholders (economists, statisticians, clinicians, policy makers) on a business or domain level would be preferred.

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