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Google Data Engineer

Mid levelSeniorFull-timeHybrid3 Sussex St, Barangaroo NSW 2000, Australia10 Eagle St, Brisbane City QLD 4000, Australia65 Canberra Ave, Griffith ACT 2603, Australia5/161 Collins St, Melbourne VIC 3004, AustraliaPosted 1 month agoVerified 1 month ago
Pending fitX of Y criteria met

About the job

Join the dynamic Data & AI practice as a Google Data Engineer, where you will deliver high-impact client-facing data transformation initiatives across various industries. This job is all about designing, developing, and managing data and AI solutions on the Google Cloud Platform, enabling clients with modern, AI-ready Data Platforms. The team thrives on collaboration and innovation, making it a fantastic place to grow your career.

Meet the team

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You'll be responsible for

🛠️

Designing and building data products

Designing and building Data Products on GCP using services such as BigQuery, Cloud Storage, Dataflow, Dataplex, and Looker.
🔄

Data pipeline development

Data Pipeline Development using Cloud Dataflow (Apache Beam), Cloud Composer (Apache Airflow), Pub/Sub, and Datastream for change data capture.
🤖

Integration of AI capabilities

Integration of Vertex AI and Gemini capabilities into data and AI solutions, including RAG pipelines, Gemini API calls, and Vertex AI Agent Builder workflows.

Key criteria

📊

5+ years in data engineering

Demonstrated experience in Data Engineering and Data Warehousing on GCP.

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🐍

Proficiency in Python

Experience with data engineering, automation, and GCP integration.

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SQL

Highly proficient in SQL

Ability to write complex queries for data extraction and analysis.

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Think you're a good fit?See what the hiring team are looking for

View your fit

5 criteria for this job
5+ years in data engineering
Demonstrated experience in Data Engineering and Data Warehousing on GCP.

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Proficiency in Python
Experience with data engineering, automation, and GCP integration.

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Highly proficient in SQL
Ability to write complex queries for data extraction and analysis.

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Experience with GCP services
Hands-on experience with BigQuery, Cloud Dataflow, and related tools.

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Expertise in ETL/ELT processes
Experience using tools like Cloud Dataflow and dbt for data transformation.

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A meaningful career starts with a match

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