Data Engineer, Google Cloud: BigQuery, Dataflow & ML
Aviato Consulting Pty Ltd
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Job summary
Aviato Consulting is seeking a Data Engineer with deep Google Cloud expertise to design and deliver data solutions for clients. You will translate business requirements into scalable data architectures, pipelines, and analytics that drive insights.
Responsibilities include building data pipelines, managing data warehousing, real-time processing, and ML workflows using Vertex AI, Looker, and BI tools. A GCP Professional Data Engineer or Cloud Architect certification is mandatory.
Qualifications
- 5+ years experience as a Data Engineer on Google Cloud.
- Proficient in Python with Pandas and NumPy.
- Experience building data pipelines with Apache Beam and Dataflow.
- Experience with BigQuery, Pub/Sub and Kafka.
- Familiarity with ETL, data warehousing, and data modeling.
Responsibilities
- Engage with clients to translate business needs into GCP data solutions.
- Design and develop scalable data pipelines using Beam, Dataflow, and Composer.
- Architect BigQuery data lakes and warehouses with optimized schemas.
- Implement real-time streaming pipelines with Kafka and Pub/Sub.
- Create dashboards using Looker, Data Studio, Power BI, or Tableau.
- Lead and mentor team members on Google Cloud best practices.
Skills
Tools
Job description
Aviato Consulting is seeking a Data Engineer with deep Google Cloud expertise to design and deliver data solutions for clients. You will translate business requirements into scalable data architectures, pipelines, and analytics that drive insights.
Responsibilities include building data pipelines, managing data warehousing, real-time processing, and ML workflows using Vertex AI, Looker, and BI tools. A GCP Professional Data Engineer or Cloud Architect certification is mandatory.
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