REA Group2 followers29 jobs

Data Engineer

Mid levelFull-timeHybridRichmond VIC 3121, AustraliaPosted 3 days agoVerified 6 days ago
Pending fitX of Y criteria met

About the job

This job is about joining a dynamic team within REA Group that focuses on designing and operating data pipelines to provide customer insights. The impact of this role is significant, as it contributes to improving data accuracy and enabling personalization for AI products. Team members thrive in a collaborative environment, embracing challenges and working together to achieve innovative solutions.

You'll be responsible for

🔧

Designing and maintaining data pipelines

Design, build, and maintain data pipelines and datasets; participate in data transformation requests coming through a team board; collaborate with team members on implementation approach and determining the most efficient ways to tackle work.
📈

Data engineering focus

The role is approximately 70-80% data engineering with opportunities to build out software engineering capabilities as Cupid's functionality expands.
🤝

Cross-team collaboration

Works closely with the senior and mid-level data engineers within the Cupid squad; collaborates with the data analyst on requirements; engages with other software engineering squads on cross-functional needs; interacts with Salesforce team and customer support team for data remediation.

Key criteria

🔍

SQL knowledge

Proven experience with SQL for data querying and analysis.

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🚀

Data pipeline design

Demonstrated experience designing and implementing data pipelines.

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☁️

Cloud platform experience

Experience with AWS or GCP for data solutions.

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5 criteria for this job
SQL knowledge
Proven experience with SQL for data querying and analysis.

View

Data pipeline design
Demonstrated experience designing and implementing data pipelines.

View

Cloud platform experience
Experience with AWS or GCP for data solutions.

View

Data modelling skills
Strong skills in data modelling and quality practices.

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Collaborative mindset
Experience working effectively in cross-functional teams.

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