Related skills
bigquery etl sql nosql python📋 Description
- Architect and develop scalable data solutions for analytics, reporting, and ML.
- Design, implement, and maintain ETL/ELT pipelines from diverse sources including APIs.
- Ensure data ingested, transformed, stored, accessible with tests and business rules.
- Translate business requirements into scalable data models and logic for large datasets.
- Build and maintain BI reporting code; ensure data integrity, availability, performance.
- Create and maintain backend infra for analytics platforms, dashboards, and ML pipelines.
🎯 Requirements
- 2-4 years in backend and/or data engineering delivering production-grade data solutions.
- Experience working in global teams across regions and time zones.
- Significant Python experience.
- Experience with SQL and NoSQL databases for OLTP/OLAP.
- Experience ingesting/processing data from external APIs.
- Experience with GCS and data warehousing (BigQuery).
🎁 Benefits
- Experience with BI tools like Looker or Tableau.
- Working knowledge of PHP.
- Experience with Airflow.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Data Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!