Related skills
bigquery sql nosql python airflow📋 Description
- Architect scalable data solutions for analytics, reporting, and ML.
- Design and maintain ETL/ELT pipelines from diverse sources.
- Ensure accurate ingestion, transformation, storage with tests and rules.
- Translate business requirements into scalable data models.
- Build BI reporting codebase with data integrity and performance.
- Create backend infra to support analytics platforms.
🎯 Requirements
- 2-4 years of back-end and/or data engineering experience.
- Experience in global environments across regions/time zones.
- Significant experience with Python.
- SQL and NoSQL databases for OLTP and OLAP.
- Experience ingesting data from external APIs.
- Experience with GCS and BigQuery.
🎁 Benefits
- Looker or Tableau experience.
- PHP knowledge.
- Airflow experience.
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