Cloud Data Engineer - AWS, Spark & ETL

Zone IT Solutions; Sydney; On-site; AUD 120,000 - 150,000; Full time

Job summary

Zone IT Solutions is seeking an experienced Data Engineer to design, build, and support scalable cloud-native data platforms and pipelines in Sydney. You will work with AWS, SQL, Python, ETL/ELT, data modeling and Spark/PySpark within Agile delivery teams.

You’ll own data integration, governance and monitoring, collaborate with stakeholders, and contribute to modern data engineering practices across projects. Snowflake/DBT familiarity is a plus.

Qualifications

• Hands-on experience building cloud-native data platforms.

Responsibilities

• Design, build and maintain scalable data pipelines.
• Collaborate with Agile teams and stakeholders.
• Implement monitoring and data quality checks.
• Work with tools like Snowflake/DBT is a plus.

Skills

SQL

Python

ETL/ELT

Data modeling

Spark/PySpark

Agile delivery

GitHub Actions CI/CD

Cloud-native data platforms

Stakeholder engagement

Problem solving

Operational databases

Kafka/MSK

Terraform

Event-driven architectures

Tools

Snowflake

DBT

AWS

S3

Glue

EMR

Athena

Aurora PostgreSQL

Kafka

MSK

Terraform

Job description

Zone IT Solutions is seeking an experienced Data Engineer to design, build, and support scalable cloud-native data platforms and pipelines in Sydney. You will work with AWS, SQL, Python, ETL/ELT, data modeling and Spark/PySpark within Agile delivery teams.

You’ll own data integration, governance and monitoring, collaborate with stakeholders, and contribute to modern data engineering practices across projects. Snowflake/DBT familiarity is a plus.