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Cloud Data Engineering Lead - GCP & Kubernetes at XPT Software Australia – Melbourne | Jobyssey

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Cloud Data Engineering Lead - GCP & Kubernetes

Cloud Data Engineering Lead - GCP & Kubernetes

XPT Software Australia · Melbourne, Australia · 5 days ago

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Seniority: Lead
Category: Data engineering

bigquery cloud data-engineering data-pipelines data-quality elt etl gcp gke kubernetes sdlc sql

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Leads the design, build, and optimization of batch, streaming, and near-real-time data pipelines in a GCP-centric environment, working hands-on with BigQuery, Kubernetes/GKE, and related GCP services. Requires strong SQL and ETL/ELT skills, with emphasis on data quality, monitoring, and cross-team collaboration.

Must Have Skills: GCP big query , Kubernetes/GKE with SQL Knowledge

Nice To Have Skills

GCP Certified

Detailed Job Description

Good communication skills with knowledge on SQL, GCP big query , Kubernetes/GKE

Strong understanding of SDLC process.
Should have Strong understanding and trouble shooting skills

Core Requirements

Must have strong experience in building, enhancing, and maintaining data pipeline frameworks supporting batch, streaming, and near‑real‑time processing.
Must be able to design reusable data engineering frameworks, accelerators, and templates to standardize ingestion, transformation, orchestration, and data quality controls.
Must have hands-on experience with GCP data services such as BigQuery, Kubernetes/GKE ,Cloud Dataflow, Dataproc, Pub/Sub, and Cloud Storage.
Must demonstrate proficiency in ETL/ELT development, SQL-based transformations, and distributed data processing.
Must implement production-grade pipelines with appropriate error handling, logging, monitoring, and performance optimization.

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