6 дней назад
Data Engineer - Senior
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer - Senior (Payments/Data Platforms): Building and maintaining enterprise data pipelines, integrations, reporting datasets, and data services for payment operations and AI-enabled services with an accent on data quality, governance, security, and migration integrity. Focus on designing ETL/ELT processes, validating migrated data, supporting ServiceNow and customer portal integrations, and resolving production data issues.
Location: Hybrid, Melbourne, Australia
Company
provides payment services and technology support, including reliable payment processing, service management, operational reporting, and customer solutions.
What you will do
- Design, develop, and maintain enterprise data pipelines, ETL/ELT processes, reusable integration components, and scalable data architectures.
- Develop integrations between operational platforms, including APIs, data exchange processes, ServiceNow integrations, and customer portal data services.
- Support the Corporate IT Transition Programme through data discovery, extraction, transformation, migration planning, reconciliation, and validation.
- Support operational reporting platforms, develop data services, investigate production data issues, and implement enhancements.
- Develop data quality controls, monitor data integrity, maintain metadata, and support information governance.
- Prepare structured datasets and data services for AI solutions, intelligent automation, dashboards, and analytics.
Requirements
- Significant experience in data engineering, enterprise data pipelines, SQL, and ETL/ELT.
- Experience with enterprise integrations, data modelling, operational reporting, and data quality practices.
- Strong analytical and stakeholder management skills.
- Degree in Information Technology, Computer Science, Data Engineering, or equivalent experience.
- Ability to work in a hybrid role based in Melbourne, Australia.
Nice to have
- Experience with Azure or AWS data platforms, Microsoft Fabric, Azure Data Factory, Power BI, or Python.
- Experience preparing data for AI solutions and supporting ServiceNow integrations.
- Payments or financial services experience.
- Microsoft Data Engineering, Azure Data Engineer Associate, AWS Data Analytics, or Agile certification.
Culture & Benefits
- Work with colleagues from around the world on payment technology challenges.
- Empowering culture with extensive training and development opportunities.
- Opportunity to contribute to technology improvements with a global organization of 18,000 innovators.
- Equal opportunity employment environment.
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