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Intetics

1071 | Senior Python Software Engineer - Airflow/Data Platform

Posted 3 Days Ago
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In-Office or Remote
Hiring Remotely in Tbilisi
Senior level
In-Office or Remote
Hiring Remotely in Tbilisi
Senior level
The role involves developing and maintaining Airflow DAGs, troubleshooting data issues, enhancing Python services, and optimizing data workflows.
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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

Requirements
  • 5+ years of Python experience
  • 3+ years of hands-on experience with Apache Airflow, including DAG development, orchestration, maintenance, and troubleshooting in production environments
  • Proven production experience with Elasticsearch, including indexing, optimization, and troubleshooting
  • Hands-on experience with Apache Superset, dashboards, and BI/data visualization workflows
  • Experience with Flask
  • Experience with Oracle and/or PostgreSQL
  • Experience with Unix/Linux environments
  • Experience with GitLab and CI/CD pipelines
  • Experience in investigating production issues and performing root cause analysis
  • Advanced English
  • Technical degree

Soft Skills

  • Proactive and ownership-driven mindset
  • Strong written and verbal communication
  • Attention to detail
  • Ability to explain technical problems and propose solutions clearly

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