Experience: 10 Years

Location: Sydney, Australia

Role Overview

We are seeking an experienced Data Engineer to design, develop, and manage scalable data pipelines and cloud data platforms using GCP, Python, SQL, and Airflow.

Key Skills

- Strong Python & SQL experience
- Hands-on GCP – BigQuery, Dataflow, Pub/Sub, Cloud Storage
- Apache Airflow / Cloud Composer
- ETL/ELT pipeline development and data integration
- Data modelling, transformation and optimization
- Looker Studio / LookML
- Data quality, governance and security
- Experience with batch and real-time data pipelines
- Valuable to have: PySpark/Spark, Kafka, Docker, CI/CD

Responsibilities

- Build and maintain scalable data pipelines on GCP
- Develop ETL/ELT workflows using Python and SQL
- Orchestrate pipelines using Airflow/Cloud Composer
- Design data models and optimize BigQuery workloads
- Support dashboards and analytics using Looker Studio
- Ensure data quality, security, reliability and performance
- Collaborate with analysts, data scientists and business stakeholders

Please drop you CV [email protected]

📌 Data Engineer-GCP (Sydney)
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