Related skills
looker sql python kubernetes dbt📋 Description
- Identify, collect and integrate data via pipelines and analytics models.
- Develop and optimize code to run pipelines at low cost.
- Build monitoring tools to ensure ETL flows and data quality.
- Design processes to correct ETL incidents.
- Collaborate with CRM, data scientists, analysts and product owners to ensure data supports initiatives.
- Advise analytics teams on best practices for data use.
🎯 Requirements
- Experience in data engineering, big data, BI, or data science.
- Experience in Spark, Python, Scala, or similar.
- Excellent SQL skills enabling large-scale data transformation and analysis.
- Cloud data warehousing and ETL with Google Dataflow, Looker, DBT, EMR, Airflow, CI/CD tools.
- Experience with cloud infrastructures (GCP preferred; AWS/Azure ok).
- Kubernetes knowledge would be an advantage.
🎁 Benefits
- Global network with 30,000+ employees across 60+ markets.
- Collaborative team across Technology & Innovation.
- Opportunity to work with leading brands and diverse teams worldwide.
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