Middle Data Engineer
Tasks
- Build Airflow DAGs for orchestration
- Collaborate with analysts and engineering teams
- Design data pipelines for batch and streaming processing
- Develop ETL workflows
- Implement data transformations
- Monitor data pipelines and ensure observability
- Optimize BigQuery queries and data models
- Run data quality checks
- Troubleshoot and improve pipeline reliability
Perks/Benefits
- Bonuses
- Corporate gifts
- Courses
- Educational events
- English classes with native speakers
- Hybrid work
- Medical insurance
- Mental health programs
- Mentorship
- Remote work
- Sports card
- Team-building activities
Skills/Tech-stack
Apache Airflow | Apache Spark | Data Modeling | Data Pipeline Monitoring | Data Warehouse | Data pipeline | ETL | Google BigQuery | Pipeline monitoring | PySpark | Python | Query Optimization | SQL
Education
N/A
Roles
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