Senior GCP Data Engineer
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Job Description
Senior Consultant in GCP Data Engineering, designing and implementing scalable data solutions at EY. Collaborating with stakeholders and optimizing data pipelines within an agile consulting framework.
Responsibilities:
- Develop and implement data pipelines (batch and streaming) using Dataflow (Apache Beam)
- Design and optimize BigQuery-based data warehouses and data marts
- Work on data ingestion, transformation, and loading (ETL/ELT) using GCP services
- Collaborate with business teams to understand requirements and convert them into scalable data solutions
- Ensure data quality, performance, and cost optimization across GCP workloads
- Support data modeling activities (dimensional and normalized models)
- Assist in solution design and architecture discussions
- Troubleshoot pipeline performance issues and optimize processing
- Contribute to CI/CD and deployment automation for data pipelines
- Work within agile teams and support sprint-based delivery
Requirements:
- 3–6 years of experience in GCP Data Engineering
- Hands-on experience in BigQuery
- Dataflow (batch pipelines; exposure to streaming is a plus)
- GCP services: Cloud Storage, Pub/Sub
- Strong understanding of ETL/ELT processes and data pipeline design
- Data warehousing concepts
- Exposure to Cloud Composer (Airflow) or any workflow orchestration tools
- GCP certification (Associate or Professional Data Engineer) is a plus
Benefits:
- Health insurance
- Professional development opportunities
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