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bigquery looker etl sql python📋 Description
- Partner with data science, SRE, and FinOps to translate requirements into scalable data solutions.
- Build and maintain ETL/ELT pipelines ingesting data from disparate systems using GCP services.
- Implement and monitor data quality checks, testing, and observability for timely datasets and dashboards.
- Support incident triage for pipelines; troubleshoot issues and document root causes.
- Develop user-facing data assets (curated tables, views, Looker dashboards) for cloud cost and operational reporting.
- Leverage AI tools to accelerate development, testing, and analysis for faster outcomes.
🎯 Requirements
- At least 2 years of experience with large-scale data in industry or relevant research.
- Strong SQL skills; relational databases; dimensional data modeling and query tuning.
- Hands-on experience with GCP BigQuery and Dataflow/Dataproc/Data Fusion.
- Proficiency with Python and common data libraries/frameworks.
- Experience building and operating ETL/ELT pipelines; API integration; structured and semi-structured data.
- Git, CI/CD workflows, and Infrastructure as Code concepts.
🎁 Benefits
- Benefits overview and perks on Box Poland page.
- Hybrid work: office 3 days per week (Tue-Thu) in Warsaw.
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