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We are looking for a Middle Data Engineer to join our team and take responsibility for developing and optimizing ETL processes, working with relational databases, and maintaining our existing data infrastructure
The role includes a balance of data engineering and backend engineering tasks: building and maintaining Airflow pipelines, troubleshooting and optimizing SQL queries in PostgreSQL/MySQL, and occasionally extending REST APIs in FastAPI/Django to provide data services.
Tasks and responsibilities:
- Design, develop, and maintain ETL pipelines;
- Troubleshoot queries to address critical production issues;
- Assist other team members in refining complex queues and performance tuning;
- Extend existing REST API services using FastAPI/Django;
- React to monitoring alerts and ensure the stability and reliability of pipelines
- 3+ years of experience in Data Engineering
- Strong knowledge of SQL (optimization, indexing, query performance tuning)
- Hands-on experience with Airflow (or equivalent orchestration tools)
- Knowledge of Python and experience with data-related libraries
- Experience in working with large volumes of data and databases
- Familiarity with REST API development (preferably FastAPI / Django / DRF)
- Experience with monitoring and logging tools (ElasticSearch, Kibana)
- Experience with Docker and CI/CD pipelines
- Understanding of cloud data platforms (AWS/GCP/Azure)
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