Strong GCP Data Services Expertise

Hands‑on experience with BigQuery, Dataflow, Pub/Sub, Cloud Storage, Ability to design scalable data solutions using native GCP tools.

Experience in Data Pipeline Development (Batch & Streaming)

Building and maintaining ETL/ELT pipelines, Experience with real‑time streaming and batch processing.

Strong Programming & Query Skills

Proficiency in Python and SQL, Experience with data processing frameworks like Apache Beam or Spark.

Understanding of Data Modeling & Warehousing

Solid understanding of data modeling (star/snowflake schemas), Experience designing and optimizing data warehouses (BigQuery).

Nice to Have Skills

- Multi‑Cloud Exposure: Understanding of cross‑cloud data integration and migration,



Experience working with AWS or Azure alongside GCP.
- Knowledge of Streaming & Messaging Frameworks: Experience with Kafka or advanced Pub/Sub patterns, Knowledge of real‑time data architectures.
- Basic Understanding of Containerization & Orchestration: Hands‑on with Docker and Kubernetes (GKE), Ability to deploy and manage data workloads in containerized environments.
- Data Governance & Security: Familiarity with data lineage, cataloging, and governance tools, Understanding of IAM roles, data security, and compliance in GCP.

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📌 Data Engineer-GCP (City of Sydney)
🏢 XPT Software
📍 City of Sydney