Senior Data Engineer (Python, GCP, Airflow)
Tasks
- Build Apache Airflow DAGs
- Design scalable data pipelines
- Develop ETL processes
- Develop data processing logic in Python
- Ensure data quality and reliability
- Implement data architecture and data models
- Maintain technical documentation
- Perform code reviews
- Support deployment and monitoring in GCP
- Transform data using BigQuery and Cloud SQL
- Translate business requirements into data solutions
Perks/Benefits
- Access to e-learning platforms
- Hybrid work
- Life insurance
- Lunch subsidy
- Online training
- Private medical coverage
- Social events
- Sport and recreation package
Skills/Tech-stack
Apache Airflow | Apache Beam | BigQuery | Cloud SQL | Cloud Storage | Cloud platform | Data Architecture | Data Modeling | Data Quality | Data integration | ETL | Google Cloud | Google Cloud Platform | NoSQL | Python | Spark
Education
N/A
Roles
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