Middle Data Engineer
Tasks
- Build batch data processing
- Build data pipelines
- Build streaming data processing
- Collaborate with engineering teams
- Design data pipelines
- Develop ETL workflows
- Implement Airflow DAGs
- Improve pipeline reliability
- Maintain data pipelines
- Monitor data pipelines
- Optimize BigQuery queries
- Optimize ETL workflows
- Optimize data models
- Perform data transformations
- Run data quality checks
- Support data needs for analysts
- Troubleshoot data pipelines
Perks/Benefits
- Bonuses
- Corporate gifts
- Educational courses
- English classes
- Hybrid work
- Medical insurance
- Mental health programs
- Office-based work
- Remote work
- Sports card
- Team-building activities
Skills/Tech-stack
Apache Airflow | Apache Spark | Data Modeling | Data Observability | Data Pipeline Monitoring | Data Quality | Data Warehouse | Data pipeline | ETL | Google BigQuery | Pipeline monitoring | PySpark | Python | Query Optimization | SQL
Education
N/A
Roles
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