• Monitor, support and continuously enhance production pipelines to ensure data availability and data accuracy targets are consistently met.
• Define, design and optimise data modelling strategy within data lake, while establishing design standards, best practices and development methodologies to ensure our data models aligns with user needs and business goals.
• Collaborate with the Data Infrastructure Manager to identify, implement and drive ongoing enhancements, ensuring that the data architecture and infrastructure remain scalable, adhere to industry standards, and continually improve load time and cost efficiency.
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Web Development
Front-End Development
Back-End Development
JavaScript
HTML/CSS
Responsive Design
Problem Solving
Team Collaboration
Version Control
API Integration
Database Management
Communication Skills
Run a real decision cadence. Every initiative has a named decision-owner and a standing checkpoint — no initiative sits in limbo waiting on "someone to decide."
Partner with Engineering as a peer, not a queue. Work directly with engineering leads on feasibility and sequencing up front, instead of discovering capacity constraints after commitments are made.
Own outcomes end-to-end — from opportunity sizing through UAT to post-launch metrics — and report actual turnaround time against target, not just status.
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