1071 | Senior Python Software Engineer - Airflow/Data Platform
Podsumowanie roli od JobGrid
1071 | Senior Python Software Engineer - Airflow/Data Platform at Intetics: Zdalnie, Kazachstan. This listing is part of JobGrid's Zdalne oferty pracy dla software engineerow z publicznych stron firm. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Zdalnie, Kazachstan
- Source freshness: checked by JobGrid on 2026-05-27.
- Application path: candidates continue to the employer application page with non-personal referral tags.
Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Senior Python Software Engineer — Airflow/Data Platform to join our dynamic team on a full-time basis.
We are looking for a Senior Python Software Engineer with strong hands-on experience in Airflow DAG development, data pipelines, Elasticsearch, Superset, and Python-based services. This is not a pure backend API role. The engineer will work on critical data/platform services, investigate production issues, perform root cause analysis, and implement improvements across data workflows, indexes, web applications, databases, and CI/CD processes.
Responsibilities
- Own and support critical data/platform services.
- Develop, maintain, and troubleshoot Airflow DAGs written in Python
- Investigate issues related to data, DAGs, DAFFs, Elasticsearch indexes, Superset, and web applications
- Perform root cause analysis and propose practical solutions
- Implement new features and improvements in existing Python/Flask-based services
- Work with Elasticsearch indexing, optimization, and troubleshooting
- Work with Oracle and/or PostgreSQL databases
- Support and improve GitLab CI/CD pipelines
- Propose improvements across application, data, infrastructure, and operational layers
- Communicate actively with the internal team and the client