GCP Data Engineering Lead – Pipelines & SQL

Xpt Software Australia Pty

Victoria

On-site

AUD 130,000 - 180,000

Full time

3 days ago
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Job summary

Xpt Software Australia Pty is hiring a data engineer to build, optimize, and maintain data pipelines across batch, streaming, and near real-time processing. The role requires hands-on use of GCP data services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage, with strong SQL and ETL/ELT capabilities.

You will design reusable frameworks and ensure production-grade quality with solid monitoring.

Qualifications

  • Must have strong experience in building, enhancing, and maintaining data pipeline frameworks supporting batch, streaming, and near real time processing.
  • Must 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, 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.

Responsibilities

  • Build and maintain data pipelines for batch, streaming, and near real-time processing.
  • Design reusable data engineering frameworks, accelerators, and templates.
  • Leverage GCP data services including BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.
  • Ensure production-grade pipelines with robust error handling, logging, monitoring, and performance optimization.

Skills

GCP
SQL
Data pipelines
ETL/ELT
SDLC
Troubleshooting

Tools

BigQuery
Cloud Dataflow
Dataproc
Pub/Sub
Cloud Storage
Kafka

Job description

Xpt Software Australia Pty is hiring a data engineer to build, optimize, and maintain data pipelines across batch, streaming, and near real-time processing. The role requires hands-on use of GCP data services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage, with strong SQL and ETL/ELT capabilities.

You will design reusable frameworks and ensure production-grade quality with solid monitoring.

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