Related skills
bigquery looker sql python dataproc📋 Description
- Partner with data science, SRE, and FinOps stakeholders to translate scoped business requirements into scalable data solutions.
- Build and maintain ETL/ELT pipelines that ingest, clean, transform, and aggregate data from disparate systems using GCP services.
- Implement and monitor data quality checks, testing, and observability to ensure trustworthy, timely datasets and dashboards.
- Support incident triage for pipelines; troubleshoot issues, document root causes, and implement fixes with guidance as needed.
- Develop and maintain user-facing data assets (e.g., curated tables, views, Looker/BI dashboards) for cloud cost and operational reporting.
- Collaborate cross-functionally with Finance, Engineering, and leadership to align data deliverables to business priorities and timelines.
🎯 Requirements
- 2+ years of experience with large-scale data in industry or research.
- Strong SQL: relational DBs, dimensional modeling, and tuning.
- GCP experience with BigQuery and Dataflow/Dataproc/Cloud Data Fusion.
- Proficiency in Python and data engineering libraries.
- ETL/ELT pipeline development; API data integration.
- Git, CI/CD, and IaC; cross-functional collaboration; Looker/BI is a bonus.
🎁 Benefits
- Benefits overview for Box Poland (link available in job posting).
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