• 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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Interface Management: Coordinate with structural and civil engineering teams regarding dynamic equipment pad loads, heavy rigging plans, and seismic vibration isolation.
Analyse and determine the root causes of network incidents, implementing solutions, permanent corrective measures, and improvements to boost network reliability.
Attends in-person meetings with clients to analyse, troubleshoot, and diagnose hardware problems.
Follows standard procedures for properly escalating unresolved issues to the appropriate internal teams.
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Data Governance & Quality: Implement data quality monitoring frameworks, enforce privacy compliance (PDPA), and maintain data lifecycle policies including retention and archiving.
Cross-Functional Collaboration: Support Business Analytics and Data Science teams by disseminating clean, high-quality datasets and delivering automated downstream reporting extracts.
2 to 5 years of experience in data engineering, custom Python ETL scripting, scalable pipeline orchestration, and cloud infrastructure management.
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Work with stakeholders including the Product, Business and Analytic teams to assist with data-related issues and support their data transformation requirements.
Conduct Data Discovery, Data Assessment and Data Workshops with customers to understand current architecture, data sources, data quality and business requirements.
Analyze customer data environments and recommend approaches for data consolidation, integration, migration, modernization and analytics.
Support presales activities, including discovery sessions, solution discussions, technical proposals, effort estimation, POCs and customer presentations.
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Apply data governance, access control and data quality standards to keep enterprise data secure and trusted.
Partner with business and IT stakeholders to translate requirements into effective analytics solutions, improving data accessibility, self-service adoption, and overall user satisfaction.
Deliver high-quality technical work on assigned projects, share expertise, and mentor junior team members to help raise data literacy across teams.
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Write, optimize and troubleshoot complex T-SQL queries, stored procedures, views, functions and triggers to support data transformation, loading, and validation logic within MS SQL Server, in line with established coding and naming standards.
Orchestrate and schedule complex data workflows, ensuring timely and reliable data delivery.
Implement and manage monitoring solutions to proactively address and prevent performance issues. Monitor daily job statuses and perform troubleshoot and recovery when necessary.
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