AWS Data Engineer – Real-Time Pipelines (Hybrid)

ASX; Sydney; Híbrido; AUD 140 000 - 190 000; Tempo integral

Resumo da oferta

ASX is a leading global securities exchange powering Australia's financial markets. This data engineering role sits in the AWS Data Engineering team within ASX Technology and focuses on ingesting, curating and distributing core data assets for dashboards, reports and APIs.

You'll collaborate with data owners and SMEs in a domain-aligned product team, deliver reliable data pipelines in a critical market infrastructure environment, and apply DevSecOps practices to maximize automation.

Qualificações

• Hands-on data engineering with AWS for ingestion, curation, storage and distribution.

Responsabilidades

• Collaborate with data owners to understand data objectives and evolve the central data platform.
• Work in a domain-aligned data product team with engineering resources.
• Ingest core data assets and create consumable products (files, reports, dashboards, APIs).
• Champion standards, frameworks and best practices in data engineering.
• Ensure pipelines run within a secure, compliant market infrastructure environment.

Conhecimentos

AWS services

Data modelling

DevSecOps practices

Real-time streaming (Kafka)

Airflow

Tableau/Power BI/QuickSight

Python

Spark

Terraform/Terragrunt

Data warehousing

Formação académica

Bachelor's degree in Computer Science, Data Science or related field

Ferramentas

Kafka

Airflow

AWS Glue

Apache Iceberg

Athena

Redshift

DataZone

Tableau

Power BI

QuickSight

Terraform/Terragrunt

Spark

Python

Descrição da oferta de emprego

ASX is a leading global securities exchange powering Australia's financial markets. This data engineering role sits in the AWS Data Engineering team within ASX Technology and focuses on ingesting, curating and distributing core data assets for dashboards, reports and APIs.

You'll collaborate with data owners and SMEs in a domain-aligned product team, deliver reliable data pipelines in a critical market infrastructure environment, and apply DevSecOps practices to maximize automation.