Performance & Cost Optimisation: Monitor, troubleshoot, and continuously optimise data workflows to improve performance, resilience, and cost efficiency.
Data Storage & Management: Build, manage, and maintain GIGA’s Data Mart, data lake, and related data storage solutions to support department’s reporting, analytics, and advanced use cases.
Data Modelling & Architecture Collaboration: Develop and maintain data models that support analytics, operational reporting, and decision-making tailored for audit and investigation activities. Collaborate closely with Group IT and Group Digital teams on data architecture decisions to support current and future data requirements.
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Develop and maintain data transformation pipelines using Talend / Talend Studio, Python and other related tools, integrated with Snowflake and other cloud platforms.
Provide support to project team members and external vendors by offering subject matter expertise in Snowflake-based data warehousing and Talend-driven data integration and transformation.
Maintain and support existing and future Data Warehouse solutions, including Snowflake environments (schemas, roles, virtual warehouses, and cost-efficient usage).
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Maintain and manage the observability of infrastructure environment of Data Engineering, including monitoring, logging, alerting, notification and so on, focusing on the monitor system performance and proactively identify and resolve issues. Optimize system performance and resource utilization.
Work closely with cross-functional teams to understand business needs and deliver data-driven insights.
Provide technical support, data ops environment on-call and training to team members and stakeholders on data operation tools and best practices.
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Build and optimize ETL/ELT frameworks supporting batch and near real-time processing.
Develop enterprise Data Warehouse and Lakehouse solutions for analytics, reporting, and AI/ML use cases.
Create and maintain dimensional data models including Fact and Dimension tables, Star Schema, Snowflake Schema, and Slowly Changing Dimensions (SCD).
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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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Develop and maintain data transformation pipelines using Talend / Talend Studio, Python and other related tools, integrated with Snowflake and other cloud platforms.
Provide support to project team members and external vendors by offering subject matter expertise in Snowflake-based data warehousing and Talend-driven data integration and transformation.
Maintain and support existing and future Data Warehouse solutions, including Snowflake environments (schemas, roles, virtual warehouses, and cost-efficient usage).
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Must be able to manage database processes and reporting structures
Extract and analyse data from core business systems such as engineering softwares, CRM,ERP, excel, or operational platforms using SQL or other appropriate methods.
Validate data accuracy, completeness, consistency; identify gaps or anomalies
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Work with Service Center to ensure average turn around time (TAT) is within agreed KPI thresholds.
Create a weekly report to send to the Info Systems Project Management team to assist them in reviewing incidents to determine what events have occurred that may be operational losses.
Work with Service Center to ensure average turn around time (TAT) is within agreed KPI thresholds.
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