onsite
Data Engineer GCP - Steampunk
Data Engineer
Seasoned Data Engineer skilled in GCP, BigQuery, and ETL pipelines, leading enterprise‑grade data platforms with strong communication and customer‑service focus.
About the role
Key Responsibilities
- Design, build, and maintain scalable data pipelines and services on GCP, ensuring high performance and reliability.
- Architect data environments, selecting appropriate storage, processing, and analytics solutions such as BigQuery, Cloud Dataflow, and Pub/Sub.
- Analyze and optimize existing ETL workflows, BI tools, and analytics reports to meet business requirements.
- Provide technical guidance on data product customization, integration, and enterprise architecture to clients and internal stakeholders.
- Collaborate with cross‑functional teams to translate business needs into robust data solutions and deliver clear, actionable insights.
Requirements
- Proven experience as a Data Engineer with a focus on GCP services.
- Strong proficiency in SQL, Python, and ETL tooling.
- Hands‑on knowledge of BigQuery, Cloud Dataflow, Cloud Storage, and related GCP data services.
- Excellent communication skills and a customer‑centric approach to problem solving.
- Ability to lead technical discussions and mentor junior team members.