Data Engineer

Position Overview

Role & Responsibilities

Identify business needs

• Collaborate with stakeholders to understand business needs and information management requirements across all systems, platforms and applications
• Identify users’ information seeking behaviour
• Determine inter-system interface design based on requirements
• Recommend types of data needed to measure and predict outcomes
• Oversee the development of design and specification proposals
• Guide feasibility and functional studies
• Influence integration of data from across the enterprise
• Set guidelines for appropriate structuring and enrichment of data

Design information architecture

• Identify the desired state of a coordinated information flow through the organisation
• Assess existing systems to evaluate their usability, usefulness, and efficiency
• Guide alignment of information management standards with the enterprise architectural plan and information security standards
• Design data architecture across varying operating systems (e.g. Windows, Linux) and sites (onsite, cloud, hybrid)
• Understand the existing data and relationship in order to identify the gaps between current availabilities and user requirements
• Develop strategies for seamless and low-risk migration of data between systems
• Design the optimum data storage schema to allow usage for analysis by power users / data scientists
• Communicate the design and recommendations to stakeholders

Develop information systems

• Perform organisation of data content and data mapping
• Develop prototypes, data schemas, and architecture documents to model the physical layout of the information environment
• Support the implementation of information designs into systems
• Monitor user-interaction with the implemented information designs
• Validate effectiveness of information delivery through usability testing
• Perform operational ad-hoc data provision to extract/load data based on stakeholders requirements using ETL tools such as Informatica.
•Optimize database queries and/or otherwise optimize system performance based on monitored system performance and user feedbacks (both end users and power users)

Analyse Data

• Manage problem definition and hypothesis formulation process
• Advise development of data analysis models based on project requirements
• Oversee data sourcing, acquisition, cleansing, integration, warehousing, exploration and delivery
• Coordinate data quality reviews

Report Insights

• Set the guidelines for the development of end user reports
• Advise the design of complex reporting and analytical solutions
• Develop roadmaps for optimising the BI analysis insights

Guide implementation

• Provide guidance  on the implementation of information architecture
• Provide direction  on linkages between different systems to ensure the information flow is aligned with the architecture
• Maintain clear and accurate documentation of data store
• Recommend innovative solutions to increase efficiencies around the integration of complex systems

Requirements

1. Must have a good grasp of software development life cycle or data warehouse concept.
2. Must have a good grasp of SQL.
3. Preferably, not mandatory, with Oracle Business Intelligence (or any Business Intelligence tool) development/administration experience.
4. Preferably with production support experience.

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