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Data Engineer

Ivega Consulting — Australia · Posted ~1 day ago

Mid Full-time

Skills

Google Cloud Platform BigQuery Dataflow Dataproc Cloud Composer Cloud Storage Pub/Sub SQL Python ETL/ELT Data Warehousing Data Modeling Large-Scale Data Processing CI/CD Git GCP

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Summary ✨ AI‑Generated

A data engineering role focused on building scalable cloud-based data solutions for analytics and business intelligence. You will develop ETL/ELT pipelines, data models, and warehouse solutions while working with large-scale processing, CI/CD, version control, and modern cloud data services.

Highlights

Design and maintain scalable cloud data solutions supporting business intelligence, analytics, and data-driven decision-making, using a broad modern GCP data engineering stack.

Description

The ideal candidate will be responsible for designing, developing, and maintaining scalable data solutions on Google Cloud Platform (GCP) to support business intelligence, analytics, and data-driven decision-making initiatives. Required Skills and Experience: • Strong experience in Google Cloud Platform (GCP) services, including BigQuery, Dataflow, Dataproc, Cloud Composer, Cloud Storage, and Pub/Sub. • Proficiency in SQL and Python for data engineering and analytics workloads. • Experience with ETL/ELT development and data warehousing concepts. • Hands-on experience with data modeling and large-scale data processing. • Knowledge of CI/CD practices and version control tools such as Git. • Familiarity with Agile delivery methodologies. • Strong problem-solving and communication skills.