Mô Tả Công Việc
About Us Live Payments is one of Australia's leading payment service providers, servicing thousands of businesses across Australia. We continue to innovate our payment solutions and expand our product offering alongside our industry-leading strategic partners, including Qantas Loyalty and Ingenico. Live Payments is seeking a talented, experienced Data Engineer to join our growing, multi-national team. The Data Engineer will be responsible for designing, building, and maintaining the systems and infrastructure that enable the processing, collection, storage, and analysis of large volumes of data. CORE DUTIES INCLUDE: Data Pipeline Development & Operations Design, build, and maintain cloud-native data pipelines Implement ETL/ELT processes for moving and transforming data at scale Develop event-driven data processing solutions with proper handling of idempotency, retries, and deduplication Production Support & Reliability Monitor production data pipelines and respond to incidents Set up alerting systems and troubleshoot pipeline failures Implement data quality checks and reconciliation processes Infrastructure & Cloud Services Management Work with managed database services (AWS qRDS PostgreSQL/SQL Server, Azure SQL) Utilise cloud object storage solutions (S3, Azure Blob Storage/ADLS) for data lake operations Implement monitoring and logging using CloudWatch, Azure Monitor, or Datadog Develop and maintain infrastructure as code using Terraform or CloudFormation Development & Deployment Write advanced SQL queries and Python code for data transformations Implement CI/CD pipelines for data infrastructure Collaborate with cross-functional teams on data requirements and solutions
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Yêu Cầu Công Việc
KEY SKILLS Experience designing and operating cloud-native data pipelines. Strong understanding of ETL/ELT patterns, orchestration, and data movement at scale Understanding of data dependencies and reconciliation. Monitoring, alerting, and incident troubleshooting. Data quality and reconciliation checks. Solid understanding of event-driven processing (idempotency, retries, replay, event ordering, deduplication) Strong experience designing batch ETL/ELT (incremental loads, watermarking, backfills) Experience using cloud object storage: Amazon S3, Azure Blob Storage / ADLS Experience with cloud monitoring and logging: AWS CloudWatch, Azure Monitor, Datadog Familiarity with CI/CD and Infrastructure as Code (Terraform, CloudFormation) Advanced SQL skills and proficient Python skills NICE-TO-HAVE SKILLS Experience with at least one managed cloud ETL service (e.g. AWS Glue, Azure Data Factory, or equivalent), and the ability to design pipelines beyond tool-specific limitations. Experience with modern data platforms such as Snowflake or Databricks Experience designing and operating data synchronisation pipelines between cloud platforms.
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Quyền Lợi
- Fully social insurance according to Vietnam Labor Law- Full salary on probation- 13th month salary and performance bonus- Annual leave: 14 days/ year + 01 day off for birthday leave- Performance review twice a year- Annual health check and vaccination- Premium Health Care Insurance (covering for spouse and children)- Personal Learning & Career Development Program (15.6 millions VND/ year)- Health Scheme Program- Laptop provided (Macbook/Window)- Free parking, coffee, snacks, etc- Attractive career path- Regular team dinners and team building activities- International and friendly working environment