Related skills
looker sql python kubernetes dbt📋 Description
- Identify, collect, and integrate data for analytics/BI.
- Build pipelines and data models for analytics and BI.
- Develop and optimize code for low-cost, maintainable pipelines.
- Create monitoring tools to ensure ETL reliability and data quality.
- Design processes to correct ETL incidents.
- Collaborate with CRM, data scientists, analysts, and product teams.
🎯 Requirements
- Experience in data engineering, big data, BI, or data science.
- Spark, Python, Scala, or similar experience.
- Excellent SQL for large scale data transformation.
- Cloud data warehousing and ETL tools Dataflow, Looker, DBT, EMR, Airflow.
- Cloud infrastructure experience; GCP preferred, AWS/Azure ok.
- Kubernetes knowledge is a plus.
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