REA Group1 follower25 jobs

Staff Data Engineer

Mid levelFull-timeHybridRichmond VIC 3121, AustraliaDataInformation technologySoftware engineeringPosted 2 months ago
View your fit0 of 9 criteria met

About the job

This job is all about making an impact by shaping the technical direction of a collaborative and supportive team. Working on exciting greenfield projects that combine data and software engineering, you will be part of a thriving culture that values high performance and care. The team embraces innovation and is dedicated to delivering solutions that meet customer priorities while fostering a strong sense of community.

You'll be responsible for

🤝

Collaborating with stakeholders

Collaborating with a range of stakeholders to deliver great outcomes for PropTrack and REA!
🔧

Designing and implementing data architectures

Designing, implementing, testing and deploying complex data architectures and APIs using a variety of technologies and platforms.
🚀

Leading technical projects

Leading the technical aspects of projects from pre-discovery stage all the way through to production.

Skills you'll need

💻

Data engineering experience

Minimum 5-7 years’ experience working in data engineering, with a proven track record in building reliable, performant and scalable data applications and pipelines.
🐍

Proficiency in programming languages

Proficient in Python, SQL, Typescript, with some experience in Scala preferred.
📊

Experience with data tools

Experience in data tools like Apache Kafka, Apache Airflow, Apache Flink, Pandas, GCP BigQuery, Apache Spark would be ideal.
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Meet the team

About the company

View your fit

0 of 5 criteria met
5-7 years of data engineering experience
Proven track record in building reliable and scalable data applications.

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Proficiency in Python, SQL, and Typescript
Essential for developing data pipelines and applications.

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Experience with cloud-deployed systems
Advanced skills in designing scalable solutions in cloud environments.

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Hands-on experience in data architectures
Understanding of data engineering design patterns is crucial.

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Mentorship experience
Ability to support and guide less experienced team members.

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A meaningful career starts with a match

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