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XPT Software Australia Pty Ltd

Data Engineer with GCP

Posted 2 Days Ago
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In-Office
Sydney, New South Wales, AUS
Mid level
In-Office
Sydney, New South Wales, AUS
Mid level
Design, develop, and maintain scalable batch and real-time data pipelines on Google Cloud. Build ETL/ELT workflows, data lakes, and warehouses using BigQuery, Dataflow, Composer, Pub/Sub, Python, PySpark, and Apache Beam. Perform data modeling, quality validation, monitoring, performance and cost optimization, while supporting security, governance, and collaboration with analytics and business teams.
The summary above was generated by AI
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using GCP services.

  • Build and optimise ETL/ELT workflows for batch and real-time data processing.

  • Work with Google BigQuery for data warehousing, SQL development, and query optimisation.

  • Develop data processing solutions using Python, PySpark, and Apache Beam.

  • Implement data integration using Cloud Dataflow, Cloud Composer, and Pub/Sub.

  • Build and manage data lakes and data warehouses on Google Cloud.

  • Implement data quality checks, data validation, and monitoring.

  • Optimise pipeline performance, scalability, and cost efficiency.

  • Collaborate with data analysts, data scientists, architects, and business teams.

  • Ensure data security, governance, and compliance best practices.

Mandatory Technical Skills
  1. Strong experience in Google Cloud Platform (GCP).

  2. Hands-on experience with BigQuery.

  3. Strong programming skills in Python and SQL.

  4. Experience developing ETL/ELT data pipelines.

  5. Experience with Cloud Dataflow and/or Apache Beam.

  6. Knowledge of Cloud Storage (GCS).

  7. Experience with data modelling and data warehousing.

  8. Experience with batch and real-time data processing.



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